Email: A.Ball@hud.ac.uk

Webpage: https://pure.hud.ac.uk/en/persons/andrew-ball

Research interests: Vibroacoustics, Electrical signature, Modelling and analysis, Condition monitoring, System integration and optimization

• Xu, Y., Zhen, D., Gu, J. X., Rabeyee, K., Chu, F., Gu, F., & Ball, A. D. (2021). Autocorrelated Envelopes for early fault detection of rolling bearings. Mechanical Systems and Signal Processing, 146, [106990]. https://doi.org/10.1016/j.ymssp.2020.106990

Email: F.Gu@hud.ac.uk

Webpage: https://pure.hud.ac.uk/en/persons/fengshou-gu

Research interests: Vibroacoustics, Electrical signature, Thermal imaging, Modelling and analysis, Intelligent computing

• Ma, J., Zhang, H., Shi, Z., Chu, F., Gu, F., & Ball, A. D. (2020). Modelling Acoustic Emissions induced by dynamic fluid-asperity shearing in hydrodynamic lubrication regime. Tribology International, 153, [106590]. https://doi.org/10.1016/j.triboint.2020.106590

Email: P.Lazaridis@hud.ac.uk

Webpage: https://pure.hud.ac.uk/en/persons/pavlos-lazaridis

Research interests: Condition monitoring, Partial Discharge, Antennas, Propagation, RF electronics

• Mohamed, H., Lazaridis, P., Mather, P., Tachtatzis, C., Judd, M., Atkinson, R. C., & Glover, I. (2019). Partial discharge detection and localization: Using Software Defined Radio. IEEE Industrial Electronics Magazine, 13(4), 77-85. [8939183]. https://doi.org/10.1109/MIE.2019.2942209
• Mistry, K., Lazaridis, P., Zaharis, Z., Chochliouros, I. P., Hong Loh, T., Gravas, I. P., & Cheadle, D. (2020). Optimization of Log-Periodic TV Reception Antenna with UHF Mobile Communications Band Rejection. Electronics (Switzerland), 9(11), [1830]. https://doi.org/10.3390/electronics9111830

Email: y.qin2@hud.ac.uk

Webpage: https://pure.hud.ac.uk/en/persons/louie-qin

Research interests: Internet of Things, Data management, Cloud computing, Mobile computing

• Tariq A. A. Alsboui, Yongrui Qin, Richard Hill, Hussain Al-Aqrabi: Enabling distributed intelligence for the Internet of Things with IOTA and mobile agents. Computing 102(6): 1345-1363 (2020)
• Wei Emma Zhang, Quan Z. Sheng, Lina Yao, Kerry Taylor, Ali Shemshadi, Yongrui Qin: A Learning-Based Framework for Improving Querying on Web Interfaces of Curated Knowledge Bases. ACM Trans. Internet Technology 18(3): 35:1-35:20 (2018)

Email: A.Smith@hud.ac.uk
Webpage: https://pure.hud.ac.uk/en/persons/ann-smith ,
Research interests: Predictive analytics, Statistical modelling, Input parameter volume reduction, Condition monitoring, Signal processing

• Smith, A., & Lee (2021), W. Brewing Optimal Coffee. European Journal of Physics. https://doi.org/10.1088/1361-6404/abc97d
• Wang, J., Wang, Z., Ma, X., Smith, A., Gu, F., Zhang, C. & Ball, A., (2020) Locating Sensors in Large-Scale Engineering Systems for Fault Isolation Based on Fault Feature Reduction. Journal of the Franklin Institute. 357, 12, p. 8181-8202 22 p.

Email: R.Wang@hud.ac.uk

Webpage: https://pure.hud.ac.uk/en/persons/ruichen-wang

Research interests: Vehicle dynamics modelling and simulation, Energy harvesting techniques, Mechanical design and analysis

• Wang, R., Gu, F., Cattley, R., & Ball, A. D. (2016). Modelling, testing and analysis of a regenerative hydraulic shock absorber system. Energies, 9(5), 386.

Email: L.Huang@hud.ac.uk

Webpage: https://pure.hud.ac.uk/en/persons/liwen-huang

Research interests: Microwave filters, substrate integrated waveguide filters and components, tunable microwave filters, LTCC

• L Huang, H Cha, Compact ridged half-mode substrate integrated waveguide bandpass filter, IEEE Microwave and Wireless Components Letters, 2015
• L Huang, H Cha, Y Li, Compact wideband ridge half-mode substrate integrated waveguide filters, IEEE Transactions on Microwave Theory and Techniques, 2016

Email: Zuolu.Wang@hud.ac.uk

Research interests: Condition monitoring and health management of battery, Signal processing technology

• Wang, Z., Yang, J., Li, H., Zhen, D., Xu, Y., & Gu, F. (2019). Fault identification of broken rotor bars in induction motors using an improved cyclic modulation spectral analysis. Energies, 12(17), 3279.
• Zhen, D., Wang, Z., Li, H., Zhang, H., Yang, J., & Gu, F. (2019). An improved cyclic modulation spectral analysis based on the CWT and its application on broken rotor bar fault diagnosis for induction motors. Applied Sciences, 9(18), 3902.

Email: V.Yellapu@hud.ac.uk

Webpage: https://scholar.google.com/citations?user=1SGtDUcAAAAJ&hl=en

Research interests: Condition monitoring/ Fault detection and diagnosis, statistical process control, Kalman filters, and estimation theory, multi-sensor fusion, multiscale modeling, vibration monitoring, and EV battery health assessment.

• Vidya Sagar Yellapu, W. Zhang, V. Vajpayee, and X. Xu “A multiscale data reconciliation approach for sensor fault detection,” Progress in Nuclear Energy, 135, 103707, 2021.
• Vidya Sagar Yellapu, V. Vajpayee, and A. P. Tiwari, “Online Fault Detection and Isolation in Advanced Heavy Water Reactor using Multi-Scale Principal Component Analysis,” IEEE Transactions on Nuclear Science, July 2019, 66(7), pages 1790- 1803, 2019.
• Vidya Sagar Yellapu, A. P. Tiwari, and S. B. Degweker, “Application of Data Reconciliation for Fault Detection and Diagnosis of In-core Self-Powered Neutron Detectors using Iterative Principal Component Test,” Progress in Nuclear Energy, 100C, pages 326-343, 2017.

Email: Funso.otuyemi@hud.ac.uk

Webpage: https://scholar.google.com/citations?user=PZq1gd0AAAAJ&hl=en

Research interests: Condition monitoring, Induction motors, Fault diagnosis, Motor current signature analysis

• Otuyemi, F., Li, H., Liu, F., Wang, J., Gu, F., & Ball, A. D. (2020). Modulation Signal Bispectrum Analysis of Motor Current Signals for Condition Monitoring of Electromechanical Systems. In Proceedings of the 13th International Conference on Damage Assessment of Structures (pp. 566-581). Springer, Singapore.
• Li, H., Zhen, D., Otuyemi, F., Gu, F., & Ball, A. D. (2019). Broken Rotor Bar Detection Using Mathematical Morphology Based on Instantaneous Induction Motor Electrical Signals Analysis. In 2019 25th International Conference on Automation and Computing (ICAC) (pp. 1-4). IEEE.

Mr Khalifa Bllau, Khalifa.Bllau@hud.ac.uk, Tool wear condition monitoring

Email: chufl@mail.tsinghua.edu.cn

Webpage: http://www.me.tsinghua.edu.cn/en/info/1044/1292.htm

Research interests: Dynamics and vibration, Machine fault diagnostics and vibration control

• Ming, A. B., Zhang, W., Qin, Z. Y., & Chu, F. L. (2015). Envelope calculation of the multi-component signal and its application to the deterministic component cancellation in bearing fault diagnosis. Mechanical Systems and Signal Processing, 50, 70-100.
• Kong, Y., Wang, T., & Chu, F. (2019). Meshing frequency modulation assisted empirical wavelet transform for fault diagnosis of wind turbine planetary ring gear. Renewable energy, 132, 1373-1388.

Email: wty19850925@126.com

Research interests: Signal processing, Fault diagnosis, Machine learning

• Wang, T., Liang, M., Li, J., & Cheng, W. (2014). Rolling element bearing fault diagnosis via fault characteristic order (FCO) analysis. Mechanical Systems and Signal Processing, 45(1), 139-153.
• Li, M., Wang, T., Chu, F., Han, Q., Qin, Z., & Zuo, M. (2020). Scaling-Basis Chirplet Transform. IEEE Transactions on Industrial Electronics.

Email: Rongfeng.Deng2@hud.ac.uk

Webpage: rongfeng.deng2@hud.ac.uk

Research interests: Image processing, Pattern recognition, Condition monitoring method based on vision

• Deng, R. , Lin, Y. , Tang, W. , Gu, F. , & Ball, A. . (2020). Object-based thermal image segmentation for fault diagnosis of reciprocating compressors. Sensors (Basel, Switzerland), 20(12).
• Deng, R., Tang, X., Song, L., Abdulmumeen, A., Gu, F. & Ball, A. D., 28 Aug 2020, Advances in Asset Management and Condition Monitoring, COMADEM 2019. Ball, A., Gelman, L. & Rao, B. K. N. (eds.). Springer, Cham, Vol. 166. p. 1495-1503 9 p. (Smart Innovation, Systems and Technologies; vol. 166).

Email: jetson_sbs@163.com

Webpage: http://gclx.jixie.zhbit.com/html/jsdw/24.html

Research interests: Intelligent manufacturing

• Huang, B. , Feng, G. , Tang, X. , Gu, J. X. , Xu, G. , & Cattley, R. , et al. (2019). A performance evaluation of two bispectrum analysis methods applied to electrical current signals for monitoring induction motor-driven systems. Energies, 12(8), 1438-.
• Xu, Y. , Huang, B. , Yun, Y. , Cattley, R. , Gu, F. , & Ball, A. D. . (2020). Model based ias analysis for fault detection and diagnosis of ic engine powertrains. Energies, 13.

Email: Shiqing.Huang@hud.ac.uk

Research interests: Metamaterials, Vibro-acoustic, Modal analysis

• Huang, S. , Zou, Z. , Lin, Y. , & Gu, F. . (2020). Study on condition monitoring of lathe cutting state under various cutting conditions based on motor current signature analysis. Journal of Physics: Conference Series, 1651(1), 012054 (6pp).

Email: Weijie.Tang@hua.ac.uk

Research interests: Condition monitoring robot, Precision indoor positioning, Intelligent control

• Tang, W. J. , Liu, Z. T. , & Wang, Q. . (2017). DC motor speed control based on system identification and PID auto tuning. 2017 36th Chinese Control Conference (CCC). IEEE.
• Tang, W. J. , & Liu, Z. T. . (2017). A convenient method for tracking color-based object in living video based on ROS and MATLAB/Simulink. 2017 2nd International Conference on Advanced Robotics and Mechatronics (ICARM). IEEE.

Email: Zhexiang.Zou@hud.ac.uk

Webpage: https://www.researchgate.net/profile/Zhexiang_Zou

Research interests: Machining monitoring technology, Intelligent manufacturing

• ZOU Zhe-xiang, WANG Qian, HUANG Bao-shan,Wheel speed signal processing of anti-lock braking system based on trend compensation[J],Shenyang Gongye Daxue Xuebao/Journal of Shenyang University of Technology,Volume 41, Issue 1, 1 January 2019, Pages 52-56
• Zou Z , Wen K , Huang B . Design of Mechanical Structure of Punch Feeding Manipulator[J]. Journal of Physics Conference, 2018, 1087.

Email: Yubin.Lin@hud.ac.uk

Research interests: Noise and vibration control, Metamaterial, Unmanned aerial vehicle

Email: Lichang.Gu@hud.ac.uk

Research interests: Research on thermal and vibration coupling effects of multi-physics metamaterials for the energy recovery to power up wireless condition monitoring systems

Email: Chun.Li@hud.ac.uk

Research interests: Machining process monitoring

• Chun Li, Bing Li, Lichang Gu, Guojing Feng, Fengshou Gu, Andrew Ball, 2020. WCMEIM, Online Monitoring of a Shaft Turning Process based on Vibration Signals from On Rotor Sensor.

Email: Huanqing.Han@hud.ac.uk

Research interests: Machining monitoring technology, Image processing

• ZHANG Junguo, HAN Huanqing, HU Chunhe, LUO Youqing. Identification Method of Pinus Yunnanensis Pest Area Based on UAV Multispectral Images[J]. Transactions of the Chinese Society for Agricultural Machinery,2018,49(5):249-255.

Email: Yanling.Cao@hud.ac.uk,

Research interests: Intelligent dynamic visions, Infrastructure condition monitoring technology

Email: D.Zhao@hud.ac.uk

Webpage: https://pure.hud.ac.uk/en/persons/dezun-zhao

Research interests: Signal processing, Condition monitoring, Intelligent diagnosis

• Zhao, D., Wang, T., Gao, R. X., & Chu, F. (2019). Signal optimization based generalized demodulation transform for rolling bearing nonstationary fault characteristic extraction. Mechanical Systems and Signal Processing, 134, 106297.
• Zhao, D., Wang, T., & Chu, F. (2019). Deep convolutional neural network based planet bearing fault classification. Computers in Industry, 107, 59-66.

Email: z.peng@sjtu.edu.cn

Webpage: http://me.sjtu.edu.cn/en/FullTimeTeacher/pengzhike.html

Research interests: Signal processing, Nonlinear systems, Nonlinear oscillations, System identification, Mechanical vibrations, Vibration control, Dynamics and control of smart structures, Structural health monitoring and damage detection, Rotating machine fault diagnosis

• P Zhou, X Dong, S Chen, Z Peng, W Zhang, Parameterized model based Short-time chirp component decomposition, Signal Processing 145(2018), 146-154
• Y Yang, Z Peng, X Dong, W Zhang, DA Clifton, Component isolation for multi-component signal analysis using a non-parametric gaussian latent feature model, Mechanical Systems and Signal Processing 103(2018), 368-380

Email: qbhe@sjtu.edu.cn

Webpage: http://me.sjtu.edu.cn/en/FullTimeTeacher/heqingbo.html

Research interests: Mechanical vibration and dynamics, Intelligent sensing and signal processing, Elastic metamaterials and advanced structures, Condition monitoring and fault diagnosis

• Jiang, T., Li, C., He, Q., & Peng, Z. -. (2020). Randomized resonant metamaterials for single-sensor identification of elastic vibrations. Nature Communications, 11, p. 2353. doi:10.1038/s41467-020-15950-1
• Lu, S., He, Q., & Wang, J. (2019). A review of stochastic resonance in rotating machine fault detection. Mechanical Systems and Signal Processing, 116, 230-260. doi:10.1016/j.ymssp.2018.06.032

Email: dongwang4-c@sjtu.edu.cn

Webpage: https://scholar.google.com.hk/citations?%20hl=en&user=%200liyk5oAAAAJ&view_op=list_works&sortby=pubdate

Research interests: Condition monitoring and fault diagnosis, Prognostics and health management

• Dong Wang, Jingjing Zhong, Changqing Shen, Ershun Pan, Zhike Peng, and Chuan Li. “Correlation dimension and approximate entropy for machine condition monitoring: Revisited.” Mechanical Systems and Signal Processing 152: 107497.
• Wang, Dong, and Kwok-Leung Tsui. “Statistical modeling of bearing degradation signals.” IEEE Transactions on Reliability 66, no. 4 (2017): 1331-1344.

Email: yangsx@zju.edu.cn

Webpage: https://person.zju.edu.cn/en/yangsx

Research interests: Condition monitoring and fault diagnosis of rotating machineries, Intelligent fault detection technology, Vibration analysis

• Yongwei, C., Shixi, Y., Weidong, J., Jun, H., Xiwen, G., & Evangelos, P.(2019). Spectral dcs-based feature extraction method for rolling element bearing pseudo-fault in rotor-bearing system. Measurement, 132, 22-34.
• Qian, N., Shixi, Y. Xinglin, L.(2018). An empirical mode decomposition-based frequency domain approach for the fatigue analysis of nonstationary processes. Fatigue Fract Eng Mater Struct, 41, 1980-1996.

Email: caoyi2018@zju.edu.cn

Webpage: https://person.zju.edu.cn/en/yangsx

Research interests: Fluid mechanics, Control theory, Optimization, Numerical modeling, Process engineering, Process simulation

• P. Odiowei and Y. Cao, “Nonlinear Dynamic Process Monitoring Using Canonical Variate Analysis and Kernel Density Estimations,” in IEEE Transactions on Industrial Informatics, vol. 6, no. 1, pp. 36-45, Feb. 2010, doi: 10.1109/TII.2009.2032654.
• E. S. Pilario and Y. Cao, “Canonical Variate Dissimilarity Analysis for Process Incipient Fault Detection,” in IEEE Transactions on Industrial Informatics, vol. 14, no. 12, pp. 5308-5315, Dec. 2018, doi: 10.1109/TII.2018.2810822.

Email: 20092507@cqu.edu.cn

Research Interests: Signal processing, Fault diagnosis, Dynamics of machinery

• Zeng, Q. , Feng, G. , Shao, Y. , Devitt, J. , & Ball, A. . (2020). An accurate instantaneous angular speed estimation method based on a dual detector setup. Mechanical Systems and Signal Processing, 140, 106674.

• Planetary Gear Fault Diagnosis Based on An Instantaneous Angular Speed Measurement System with a Dual Detector Setup

Email: cqu_hyy@outlook.com

Research interests: Production scheduling, PHM, Maintenance

Email: ming.luo@bristol.ac.uk
Webpage: https://research-information.bris.ac.uk/en/persons/ming-luo
Research interests: Warranty management, Risk management, Reliability, Business analytics, Portfolio theory
Luo, M., & Wu, S. (2018). A value-at-risk approach to optimisation of warranty policy. European Journal of Operational Research, 267(2), 513-522.
Luo, M., & Wu, S. (2019). A comprehensive analysis of warranty claims and optimal policies. European Journal of Operational Research, 276(1), 144-159.

Email: wangweifrancis@tju.edu.cn

Research interests: Nonlinear dynamics and energy harvesting technology

• Li, H. , Wang, Z. , & Wang, W. . (2020). A local sparse screening identification algorithm with applications. Computer Modeling in Engineering & Sciences.
• Wang, C. , Zhang, Q. , Wang, W. , & Feng, J. . (2018). A low-frequency, wideband quad-stable energy harvester using combined nonlinearity and frequency up-conversion by cantilever-surface contact. Mechanical Systems and Signal Processing, 112(NOV.), 305-318.

Email: d.zhen@hebut.edu.cn

Webpage: https://scholar.google.co.uk/citations?user=T0w1B4cAAAAJ&hl=th

Research interests: Machinary condition monitoirng and fault diagnosis, Vibroacoustics, Signal processing, Mechanical dynamics

• Yinghui Liu, Zhanqun Shi, Guoji Shen*, Dong Zhen*, Feiyue Wang, Fengshou Gu. Evaluation model of mesh stiffness for spur gear with tooth tip chipping fault [J]. Mechanism and Machine Theory, 2020, 158.
• Junchao Guo, Dong Zhen*, Haiyang Li, Zhanqun Shi, Fengshou Gu, Andrew D. Ball. Fault detection for planetary gearbox based on an enhanced average filter and modulation signal bispectrum analysis. ISA Transactions 2020, 101, 408-420.

Email: z_shi@hebut.edu.cn 

Research interests: Fault diagnosis

• Ma J., Zhang H., Lou S., Chu F, Shi Z, Gu F & Ball A.D.(2021). Analytical and Experimental Investigation of Vibration Characteristics Induced by Tribofilm-Asperity Interactions in Hydrodynamic Journal Bearings. Mechanical Systems and Signal Processing,150. https://doi.org/10.1016/j.ymssp.2020.107227
• Yang K., Zhanqun S., Hao Z., Dong Z., Fengshou G.. A Novel Method for the Dynamic Coefficients Identification of Journal Bearings Using Kalman Filter. Sensors 2020, 20, 565.

Email: zhanghao@hebut.edu.cn

Webpage: https://scholar.google.com/citations?user=c3iUuq8AAAAJ&hl=en

Research interests: Tribology, Dynamics

• Ma J, Zhang H, Lou S, et al. Analytical and experimental investigation of vibration characteristics induced by tribofilm-asperity interactions in hydrodynamic journal bearings [J]. Mechanical Systems and Signal Processing, 2021, 150: 107227.
• Ma J, Zhang H, Shi Z, et al. Modelling Acoustic Emissions induced by dynamic fluid-asperity shearing in hydrodynamic lubrication regime [J]. Tribology International, 2021, 153: 106590.

Email: zhaozong.meng@hebut.edu.cn

Webpage: https://scholar.google.com/citations?user=973_GbUAAAAJ&hl=en

Research interests: Sensing and measurement, IoT, Industrial informatics

• Meng Z., Wu Z., and Gray J. Architecting Ubiquitous Communication and Collaborative-Automation-Based Machine Network Systems for Flexible Manufacturing. IEEE Systems Journal, 2020, 14(1):113-123.
• Meng Z., Wu Z., Muvianto C. and Gray J. A Data-Oriented M2M Messaging Mechanism for Industrial IoT Applications. IEEE Internet of Things Journal, 2017, 4(1):236-246.

Email: guojin.feng@outlook.com

Webpage:

Research interests: On-rotor Sensing, Wireless sensor network, Machinery condition monitoring and fault diagnosis, Signal processing, Nondestructive testing.

• G. Feng, N. Hu, Z. Mones, F. Gu, and A. D. Ball, “An investigation of the orthogonal outputs from an on-rotor MEMS accelerometer for reciprocating compressor condition monitoring,” Mechanical Systems and Signal Processing, vol. 76–77, pp. 228–241, Aug. 2016. 
• G. Feng, H. Zhao, F. Gu, P. Needham, and A. D. Ball, “Efficient implementation of envelope analysis on resources limited wireless sensor nodes for accurate bearing fault diagnosis,” Measurement, vol. 110, no. Supplement C, pp. 307–318, Nov. 2017.

Email: xiaoxia.liang@twi.co.uk

Research Interests: Condition based risk assessment, Fault detection, Risk based inspection, Machine learning

• Liang, X., Duan, F., Bennett, I., & Mba, D. (2021). A Comprehensive Health Indicator Integrated by the Dynamic Risk Profile from Condition Monitoring Data and the Function of Financial Losses. Energies, 14(1), 1-1.
• Liang, X., Duan, F., Bennett, I., & Mba, D. (2020). A Sparse Autoencoder-Based Unsupervised Scheme for Pump Fault Detection and Isolation. Applied Sciences, 10(19), 6789.

Email: lvkaibo@tyut.edu.cn

Webpage:

Research interests: Manufacturing processes monitoring ang dynamics

• Lu, Z. Lian,F. Gu. Model-based chatter stability prediction and detection in the turning of flexible workpieces. Mechanical Systems and Signal Processing, 2018,100:812-824.
• Lu,F. Gu,A. Longstaff. An investigation into tool dynamics adaptation for chatter stability enhancement in the turning of flexible workpieces. International Journal of advanced manufacturing technology.2020, 111:3112-3125.

Email:  liguoxing@tyut.edu.cn

Webpage:

Research interests: Tribo-dynamics modelling and fault diagnosis

• Li, Guoxing; Gu, Fengshou; Wang, Tie,An Improved Lubrication Model between Piston Rings and Cylinder Liners with Consideration of Liner Dynamic Deformations, Energies, 2017, 10(12).

Email: wuzhifei@tyut.edu.cn

Webpage: http://mc.tyut.edu.cn/info/1028/2245.htm

Research interests: Vehicle dynamics

• WU, Z. (2020). Influence of suspension hysteresis characteristics on vehicle vibration performance. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. https://doi.org/10.1177/0954407020970839
• WU, Z. (2020). Modeling and Analysis of a Hydraulic Energy-Harvesting Shock Absorber. Mathematical Problems in Engineering. https://doi.org/10.1155/2020/1580297

Email:  shenguoji@nudt.edu.cn

Webpage:

Research interests: Tribo-dynamics modelling and fault diagnosis

• S. Guoji, S. McLaughlin, X. Yongcheng, and P. White, “Theoretical and experimental analysis of bispectrum of vibration signals for fault diagnosis of gears,” Mechanical Systems and Signal Processing, vol. 43, no. 1, pp. 76–89, Feb. 2014, doi: 10.1016/j.ymssp.2013.08.023.

Profile: Prof. Han Long is a post-doctoral supervisor of National University of Defense Technology. He received a doctoral degree in structural engineering at Tongji University in 2014 and a postdoctoral degree in applied mathematics at NUDT in 2018. And he was a visiting scholar at University of Warwick in Britain. He co-chaired more than 10 key projects supported by the Regional Joint Funds of the National Natural Science Foundation of China and the Natural Science Foundation of Hunan Province, and also presided over a number of pre-research projects on national defense, basic research projects of State Administration of Science, Technology and Industry for National Defense and civil military integration projects. Moreover, he published more than 50 papers indexed by SCI/EI and served as the reviewer of many international journals. He chairs the session of the International Conference on Computer, Big Data and Artificial Intelligence (ICCBDAI) in 2021. Besides, he won the second prize of the Military Science and Technology Progress Award and the second prize of Shanghai Science and Technology Progress Award. His research covers the fields of reinforcement learning, multi-agent systems and game theory.

Email:

Email: wjq_gfkd@163.com

Research interests: System identification, Data modelling and analysis, and Fault detection and diagnosis

• Wang, J. Q, Lyu, D. H, He, Z. M, Cauchy kernel-based maximum correntropy Kalman filter,International Journal of Systems Science, 2020, 1-16, https://doi.org/10.1080/00207721.2020.1817614
• Z He，YAW Shardt，D Wang，B Hou，H Zhou，J Wang, An incipient fault detection approach via detrending and denoising techniques for nonlinear and nonstationary process, https://doi.org/10.1016/j. conengprac. 2018.02.005

Email: whlee@scut.edu.cn

Webpage: http://www2.scut.edu.cn/smae/2016/0728/c21156a302736/page.htm

Research interests: Equipment intelligent operation & maintenance, PHM, Autonomous driving

• Huang, J. Li, W. Li* and L. Cui, “Deep Ensemble Capsule Network for Intelligent Compound Fault Diagnosis Using Multisensory Data,” IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 5, pp. 2304-2314, May 2020, doi: 10.1109/TIM.2019.2958010. (IF:3.067, Online)
• Chen, K. Gryllias and W. Li*, “Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network,” IEEE Transactions on Industrial Informatics, vol. 16, no. 1, pp. 339-349, Jan. 2020. (IF:7.377)

Email: jgwu@hnust.edu.cn

Webpage: https://kszb.hnust.edu.cn/zxjs/zxld/7d36217b12b2459491e76cce6e1884ac.htm

Research interests: Mechanical dynamics and fault diagnosis

• Fulong Liu, Jigang Wu*, Fengshou Gu, Andrew D. Ball. An introduction of a robust OMA method: CoS-SSI and its performance evaluation through the simulation and a case study[J]. Shock and Vibration, 2019, (4): 1-14.
• Jigang Wu*, Mian Jiang, Xuejun Li, Heying Feng. Assessment of severity of nonlinearity for distributed parameter systems via nonlinearity measures[J]. Journal of Process Control, 2017, 58: 1-10.

Webpage: https://www.dmu.ac.uk/about-dmu/university-governance/executive-board/professor-david-mba.aspx

Email: Stephan.Heyns@up.ac.za

Webpage: https://www.up.ac.za/media/shared/120/ZP_Files/CV2019/cv-ps-heyns-university-of-pretoria-format-2019-11-07.zp182655.pdf

Research interests: Finite element modeling, Structural dynamics, Engineering, Applied and computational mathematics, Mechanical engineering, Dynamics, Neural networks, Nondestructive testing

• Stander, C. J., P. S. Heyns, and W. Schoombie. “Using vibration monitoring for local fault detection on gears operating under fluctuating load conditions.” Mechanical Systems and Signal Processing 16.6 (2002): 1005-1024.
• Schmidt, Stephan, P. Stephan Heyns, and Konstantinos C. Gryllias. “A discrepancy analysis methodology for rolling element bearing diagnostics under variable speed conditions.” Mechanical Systems and Signal Processing 116 (2019): 40-61.

Email: Jyoti.Sinha@manchester.ac.uk

Webpage: https://www.research.manchester.ac.uk/portal/jyoti.sinha.html

Research interests: Signal processing, Finite modeling, Numerical simulation, FEA, Dynamic analysis, Dynamics, Structural vibration, Vibration analysis, Condition monitoring, Rotor dynamics

• Sinha, Jyoti K., M. I. Friswell, and S. Edwards. “Simplified models for the location of cracks in beam structures using measured vibration data.” Journal of Sound and vibration 251.1 (2002): 13-38.
• Yunusa-Kaltungo, Akilu, and Jyoti K. Sinha. “Sensitivity analysis of higher order coherent spectra in machine faults diagnosis.” Structural Health Monitoring 15.5 (2016): 555-567.

Email: w.duan@herts.ac.uk

Webpage: http://go.herts.ac.uk/wenbo_duan

Research interests: Acoustics, Numerical modelling, Non-destructive testing

• Wenbo Duan, Tat-Hean Gan, “Investigation of guided wave properties of anisotropic composite laminates using a semi-analytical finite element method,” Composites Part B: Engineering, 173, 106898, 2019

• Wenbo Duan, Ray Kirby, “Guided wave propagation in buried and immersed fluid-filled pipes: application of the semi analytic finite element method,” Computers & Structures, 212, 236-247, 2019

Email: jiyongjian@bistu.edu.cn

Research interests: Machining chatter

• Ji Y J, Wang X B, Liu Z B, Wang H J, Wang K J, Wang D Q. Stability prediction of five-axis ball-end finishing milling by considering multiple interaction effects between the tool and workpiece. Mechanical Systems and Signal Processing, 2019, 131: 261–287.
• Ji Y J, Wang X B, Liu Z B, Wang H J, Yan Z H. An updated full-discretization milling stability prediction method based on the higher-order Hermite-Newton interpolation polynomial.  International Journal of Advanced Manufacturing Technology, 2018, 95(5-8): 2227–2242.

Email: hulei0819@foxmail.com

Research interests: Mechanical vibration analysis, Condition monitoring, Fault diagnosis

• Lei Hu, Lun Zhang, Fengshou Gu, Niaoqing Hu, Andrew Ball. Extraction of the largest amplitude impact transients for diagnosing rolling element defects in bearings. Mechanical systems and signal processing, 116, https://doi.org/10.1016/j.ymssp.2018.07.022

Email: huishi@tyust.edu.cn

Research Interests: Prognostics and health management (PHM)

• Hui Shi,Renwang Song (2020).Prediction method for remaining useful life of gearbox based on kernel estimation and stochastic filtering theory.Computer Integrated Manufacturing Systems, 26.https://doi.org/10 .13196/j .cims .2020 .03 .006

Email: weinasha@hotmail.com

Research Interests: Engine condition monitoring, Fault diagnosis

• Nasha Wei, N.; Gu, J.X.; Gu, F.; Chen, Z.; Li, G.; Wang, T.; Ball, A.D. An Investigation into the Acoustic Emissions of Internal Combustion Engines with Modelling and Wavelet Package Analysis for Monitoring Lubrication Conditions. Energies 2019, 12, 640.
• Nasha Wei; Fengshou Gu; Guoxing Li; Tie Wang; Andrew Ball, Characterising the friction and wear between the piston ring and cylinder liner based on acoustic emission analysis, The 21st International Congress on Sound and Vibration, 2014. 7.13 – 2014.7.17

Email: tianxiange@ujs.edu.cn

Research Interests: Machine condition monitoring and fault diagnosis, Signal processing, Vibroacoustics

• Tian, X., Gu, J., Rehab, I., Abdalla, G., Gu, F., & Ball, A. (2018). A robust detector for rolling element bearing condition monitoring based on the modulation signal bispectrum and its performance evaluation against the Kurtogram. Mechanical Systems And Signal Processing, 100, 167-187. doi: 10.1016/j.ymssp.2017.07.037

Email: y.xu@imperial.ac.uk

Webpage: https://www.imperial.ac.uk/people/y.xu

Research Interests: Fault detection and diagnosis, Vibroacoustic testing and analysis, Signal processing experimental/operational modal analysis, Development of online condition monitoring systems.

• Y. Xu, D. Zhen, J. X. Gu, K. Rabeyee, F. Chu, F. Gu, and A. D. Ball, ‘Autocorrelated Envelopes for early fault detection of rolling bearings’, Mechanical Systems and Signal Processing, vol. 146, p. 106990, 2021.
• Y. Xu, C. Fu, N. Hu, B. Huang, F. Gu, and A. D. Ball, ‘A phase linearisation–based modulation signal bispectrum for analysing cyclostationary bearing signals’, Structural Health Monitoring, p. 1475921720949827, 2020.

Email: X.Tang4@aston.ac.uk

Webpage: https://scholar.google.co.uk/citations?user=vfBC_swAAAAJ&hl=en

Research Interests: Machine condition monitoring, Wireless sensor networks, Data compression and signal processing

• Tang, X., Wang, X., Cattley, R., Gu, F., & Ball, A. D. (2018). Energy harvesting technologies for achieving self-powered wireless sensor networks in machine condition monitoring: A review. Sensors, 18(12), 4113.

Email: jxxwgb@126.com

Research Interests: Mechanical health monitoring and fault diagnosis

• Guangbin Wang, Ying Lv , Tengqiang Wang, Xiaohui Wang, and Huanke Cheng, Mass Laplacian Discriminant Analysis and Its Application in Gear Fault Diagnosis, Shock and Vibration, Vol. 2020,ID 8826419, 1-13
• Guangbin Wang, Yinghang He, Yanfeng Peng, Haijia Li, Bearing Fault Identification Method based on Collaborative Filtering Recommendation Technology, Shock and Vibration, 2019.5(2019)):1-12

Email: linlyjiang@163.com

Research Interests: Mechanical dynamics and fault diagnosis

• Lingli JIANG, Hongchuang TAN, Xuejun Li, Liman CHEN, Dalian Yang. CEEMDAN-based Permutation Entropy: A Suitable Feature for the Fault Identification of Spiral-Bevel Gears. Shock and vibration, Volume 2019, Article ID 7806015, 13 pages
• Lingli Jiang，Yilun Liu, Xuejun Li, Siwen Tang. Using bispectral distribution as a feature for rotating machinery fault diagnosis. Measurement, 2011, 44(7):1284-1292.

Email: majiaojiaos@163.com

Webpage: https://scholar.google.com/citations?user=973_GbUAAAAJ&hl=en

Research interests: Vibroacoustics, Condition monitoring, Modelling and analysis

• Ma J., Zhang H., Lou S., Chu F, Shi Z, Gu F & Ball A.D.(2021). Analytical and Experimental Investigation of Vibration Characteristics Induced by Tribofilm-Asperity Interactions in Hydrodynamic Journal Bearings. Mechanical Systems and Signal Processing,150. https://doi.org/10.1016/j.ymssp.2020.107227
• Ma J., Zhang H., Chu F., Shi Z., Gu F. and Ball A.D.(2021). Modelling Acoustic Emissions induced by dynamic fluid-asperity shearing in hydrodynamic lubrication regime. Tribology International,153. https://doi.org/10.1016/j.triboint.2020.106590

Email: isa.yesilyurt@usak.edu.tr

Webpage: http://akbis.usak.edu.tr/Home/Index/isa.yesilyurt

Research Interests: Vibration based condition monitoring, Signal processing, Fault detection, Machining process, Estimation of material properties

• Yesilyurt. Acoustic emission monitoring of burn damage occurrence in grinding under different operating conditions using low-order frequency moments of spectrogram. Submitted to the Journal Structural Health Monitoring, 2021.
• Yesilyurt and H. Gursoy. Modelling and experimental verification of cutting forces in gear tooth cutting. Machining Science and Technology, Vol. 22(1), pp. 30-47, 2018.

Email: fulong_liu@email.tjut.edu.cn

Research Interests: Vehicle dynamics, OMA, Clinching, Random vibration

• Fulong Liu, Hao Zhang, Xiaocong He, Yunshi Zhao, Fengshou Gu & Andrew D. Ball (2020) Correlation signal subset-based stochastic subspace identification for an online identification of railway vehicle suspension systems, Vehicle System Dynamics, 58:4, 569-589, DOI: 10.1080/00423114.2019.1589534

Email: caoyunpeng@hrbeu.edu.cn

Webpage: http://homepage.hrbeu.edu.cn/web/caoyunpeng

Research Interests: Marine engine fault diagnosis, Model and simulation, Prognosis and health management

• Yang, Q. , Li, S. , & Cao, Y. . (2019). Multiple model-based detection and estimation scheme for gas turbine sensor and gas path fault simultaneous diagnosis. Journal of Mechanical Science and Technology, 33(4), 1959-1972.
• Yang, Q. , Li, S. , Cao, Y. , Gu, F. , & Smith, A. . (2018). A gas path fault contribution matrix for marine gas turbine diagnosis based on a multiple model fault detection and isolation approach. Energies, 11(12).

Email: 358892887@qq.com

Research Interests: Mechanical damage detection

• H.L. Mao, W.L. Tang, Y. Huang, D.H. Yuan, Z.F. Huang, X.X. Li, W.X. Zheng, S.H. Ma. The construction and comparison of damage detection index based on the nonlinear output frequency response function and experimental analysis. J. Sound Vib. 427 (2018) 82-94.
• H.L. Mao, W.L. Tang, W.Y. Zhu, G.F. Yang, X.X. Li, Z.F. Huang, H.Y. Mao, B.Q. Si, Feasibility study on wheelset fatigue damage with NOFRFs-KL divergence detection method in SIMO, J. Sound Vib. 483 (2020) 115447.

Email: 303494977@qq.com

Research Interests: Optimization of structural performance

Email: cqu_xmm@outlook.com

Research interests: Fault diagnosis

• Xu, M., Feng, G., He, Q., Gu, F., and Ball, A.: ‘Vibration Characteristics of Rolling Element Bearings with Different Radial Clearances for Condition Monitoring of Wind Turbine.pdf’, Appl Sci-Basel, 2020, 10

Email: cqu_xmm@outlook.com

Research interests: Fault diagnosis

• Xu, M., Feng, G., He, Q., Gu, F., and Ball, A.: ‘Vibration Characteristics of Rolling Element Bearings with Different Radial Clearances for Condition Monitoring of Wind Turbine.pdf’, Appl Sci-Basel, 2020, 10

Email: postfeng@lut.edu.cn

Research Interests: Machined surface integrity, Structural and material strength, Dynamic monitoring technique

• Ruicheng Feng, Yongnian Qi*, Zongxiao Zhu, Wenyuan Song, Haiyan Li*, Maomao Wang, Zhiyuan Rui, Fengshou Gu. (2020). Molecular dynamics simulation to investigate the rake angle effects on nanometric cutting of single crystal Ni3Al. International Journal of Precision Engineering Manufacturing, 21(4): 711-724. http://doi.org/10.1007/s12541-019-00249-z.

Email: y5217@163.com

Research Interests: Machined surface integrity

• Haiyan Li, Zihao Shao, Ruicheng Feng*, Yongnian Qi, Qin Wu, Chunli Lei.(2021) Subsurface defects evolution and crystal structure transformation of single crystal copper in nanoscale combined machining. Philosophical Magazine. http://doi.org/10.1080/14786435.2020.1814493.

Email: qwu.1973@hotmail.com

Research Interests: Mechanical system dynamics

• Qin Wu, Fengshou Gu, Andrew Ball, A hybrid model for analysing the modal properties of a ball-screw vibration system, Journal of Mechanical Science and Technology, 2021, Vol.35, No.2
• Wu, Qin*; Rui, Zhiyuan; Yang, Jianjun，Bifurcation and chaos characteristics for ball-screw system considering nonlinear elastic force, Journal of Xi’an Jiaotong University, 2012, 46(1): 70-75.

Email: wjgkyc@imust.edu.cn

Webpage: https://graduate.imust.edu.cn/info/1062/3427.htm

Research Interests: Fault diagnosis, Condition monitoring

• Wang Jianguo, Xu Minmin, Zhang Chao, Huang Baoshan, Fengshou Gu. Online Bearing Clearance Monitoring Based on an Accurate Vibration Analysis, Energies,2020(13): 387-406.
• Zhang Chao, Li Zhixiong, Hu Chao, Chen Shuai, Wang Jianguo, Zhang Xiaogang. An optimized ensemble local mean decomposition method for fault detection of mechanical components, Measurement Science and Technology, 2017(28):1-12.

Email: zhanghero@imust.edu.cn

Research Interests: Fault diagnosis, Condition monitoring

• Zhang Chao, Peng Zhogxiao, Chen Shuai, Li Zhixiong, Wang Jianguo. A gearbox fault diagnosis method based on frequency-modulated empirical mode decomposition and support vector machine. Proceedings of the Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science, 2018, 232(2): 369-380.
• Zhang Chao, Li Zhixiong, Hu Chao, Chen Shuai, Wang Jianguo, Zhang Xiaogang. An optimized ensemble local mean decomposition method for fault detection of mechanical components. Measurement Science and Technology, 2017, 28(3):1-12.

Email: sdyuqi@126.com

Research Interests: New technology of sheet material connection, The synthesis and application of carbon nanomaterials

• Wang Y., Pan J., Li Y., Zhang P., Li M., Zheng H., Zhang X., Li H.,&Du Q.,(2020). Methylene blue adsorption by activated carbon, nickel alginate/activated carbon aerogel, and nickel alginate/graphene oxide aerogel: a comparison study.Journal of Materials Research and Technology-JMR&T,9.https://doi.org/10.1016/j.jmrt.2020.08.084.

Email: wangjinxin@cumt.edu.cn/wangjinxin@hrbeu.edu.cn

Research Interests: Mechanical fault diagnosis; Big data analysis; AI

• Wang J., Wang Z., Stetsyuk V., et al. (2019). Exploiting Bayesian networks for fault isolation: A diagnostic case study of diesel fuel injection system. ISA Transactions, 86.
• Wang J., Wang Z., Ma X., et al. (2020). Locating Sensors in Large-Scale Engineering Systems for Fault Isolation Based on Fault Feature Reduction. Journal of the Franklin Institute, 357.

Email: ylyun1981@163.com

Research Interests: Precision agriculture system integration

• Yun, Y., Ma, D., Yang.M.(2021). Human–computer interaction-based Decision Support System with Applications in Data Mining.Future Generation Computer Systems, 114, [101016]. https://doi.org/10.1016/j.future.2020.07.048

Email: liu_yanfen@163.com

Research Interests: Agricultural machinery

• Design and experiment of horizontal disc seed metering device for maize seeder[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2017,33(8): 37-46. (in Chinese with English abstract)
• Design and experiment on lightweight maize ridge planting no-tillage planter[J]. Transactions of the Chinese Society for Agricultural Machinery, 2017,48(11): 60-69. (in Chinese with English abstract)

Email: 1220160002@mail.xhu.edu.cn

Webpage: http://qc.xhu.edu.cn/_redirect?siteId=16&columnId=7113&articleId=149052

Research Interests: Signal processing and fault diagnosis

• Qing Xiong, Yanhai Xu, Yiqiang Peng, et al. Low-speed rolling bearing fault diagnosis based on EMD denoising and parameter estimate with alpha stable distribution, Journal of Mechanical Science and Technology, 2017, 31(4): 1587–1601.

Email: wangxianghong@csust.edu.cn

Research Interests: Nondestructive testing

• Xianghong Wang, Jianjun Xiang, Hongwei Hu, Wei Xie, Xiongbing Li. Acoustic emission detection for mass fractions of materials based on wavelet packet technology. Ultrasonics, 2015, 60(7):27-32.
• Xianghong Wang, Zhimin Luo, Hongwei Hu, Hanling Mao. Extraction of weak crack signals based on sparse code shrinkage combined with wavelet packet filtering. Applied Acoustics, 2016, 112: 53-58.

Email: Pieter.vanvuuren@nwu.ac.za

Research Interests: Condition monitoring of electromechanical systems, Condition monitoring of electrical switchgear, Pattern recognition, Signal processing, Machine learning.

Email: ashraf.sheri@nwu.ac.za

Research interests: Theory of transmission line, Characterising power line cable at high frequency, Common mode conversion in power line cable.

• A. de Beer, A. Sheri, H. Ferreira, and A. H. Vinck, “Channel Frequency Response for a Low Voltage Indoor Cable Up to 1GHz,” in Power Line Communications and its Applications (ISPLC), 2018 22nd International Symposium on, Manchester, UK, 2018, pp. 1-6: IEEE.
• A. de Beer, A. Sheri, and H. Ferreira, “Influence of Cable Selection on Channel Frequency Response for Low Voltage Indoor Cables,” in Power Line Communications and its Applications (ISPLC), 2018 22nd IEEE International Symposium on, Manchester, UK, 2018, pp. 1-6: IEEE.

Email: ljy2004@hqu.edu.cn

Research Interests: Machine vision, Robotic vision

• Lin J, Zhang X, Wang Y, et al. Compensation method for projector calibration based on homography and bundle adjustments[J]. OSA Continuum, 2020, 3(11):3157.Shanghai University of Engineering Science, China

Email: zhenglin@dlnu.edu.cn

Research Interests: Condition monitoring and fault diagnosis

• Lin Zheng, Luo Yuegang, Rubo Zhang, Changjian Feng, Zhanqun Shi, Study on Control Method of Acceleration Slip Regulation of Electric Vehicle based on Fuzzy Logic Control Principle, Journal of Web Engineering, Vol.17(6), pp.1459-1466

Email: songlin03@sina.com

Research Interests: Computer vision, Image processing, Computer aided design

• Lin Song, Mantun Gao, Sanmin Wang, Shuxia Wang. (2015). An Image Segmentation Method by Combining Fuzzy C-Means Clustering with Graph Cuts Optimization for Multiphase Level Set Algorithms. Journal of Graphics, 36.

Email: qgjnudt@163.com

Research Interests: PHM of equipment, Including sensors, Sensor network, Signal processing, Machine learning

• Qin G J, Yuan J H, Hu N Q, et al. Numerical simulation and regression modeling of stable diffusion field of hydrogen leakage, research [J]. High Technology Communications, 2010,20(11): 1206-1210（in Chinese）
• Qin G J, Z M, Zhang W N, Hu N Q. Response Equivalence and transient signal orthogonal decomposition model for mixed gas identification [J] . Journal of National University of Defense Technology, 2015,37(4): 172-178 (in Chinese)

Email: huwei@world-transtech.com

Webpage: http://www.world-transmission.com

Research Interests: Mechanical failure analysis, Equipment mechanical failure diagnostic, Equipment intelligent health management, Remote diagnosis, Signal feature extraction, Mechanical vibration fault diagnosis algorithm

• Wei Hu, Fengshou Gu and Shiqi Chen. Large Data and AI Analysis based Online Diagnosis System Application of Steel Ladle Slewing Bearing in 32rd International Congress & Exhibition on Condition Monitoring and Diagnostic Engineering Management. University of Huddersfield, Sep. 2019.

• Miaoshuo Li, Robin Appadoo, Wei Hu, Fengshou Gu and Andrew Ball. Condition Monitoring of Reciprocating Compressor Based on Acoustic Imaging in 32rd International Congress & Exhibition on Condition Monitoring and Diagnostic Engineering Management. University of Huddersfield, Sep. 2019.

Email: dongtao80@126.com

Research Interests: Design of optical machine structure for photoelectric detection instrument, Photoelectric test technology for shooting range

Email: trlin888@163.com

Webpage: http://mae.qut.edu.cn/info/1042/2504.htm

Research interests: Vibration, Acoustics, Signal processing, Fault diagnosis

• G. Yu and T. R. Lin, Second order transient extracting transform for the analysis of impulse like signals, Mechanical Systems and Signal Processing (In Press)

Email: zainab.mones@uob.edu.ly

Webpage: https://scholar.google.co.uk/citations?user=RSntJWMAAAAJ&hl=en

Research interests: Condition monitoring, communication, edge and cloud computing, electrical systems.

• Feng, G., Hu, N., Mones, Z., Gu, F., & Ball, A. D. (2016). An investigation of the orthogonal outputs from an on-rotor MEMS accelerometer for reciprocating compressor condition monitoring. Mechanical Systems and Signal Processing, 76, 228-241.
• Mones, Z., Feng, G., Ogbulaor, U. E., Wang, T., Gu, F., & Ball, A. (2016, October). Performance evaluation of wireless MEMS accelerometer for reciprocating compressor condition monitoring. In Power Engineering: Proceedings of the International Conference on Power Transmissions 2016 (ICPT 2016), Chongqing, PR China, 27–30 October 2016 (No. 2016, pp. 893-900). Taylor & Francis.

Email: k.feng@hud.ac.uk

Research interests:

• B. Yan, M. Hu, K. Feng* and Z. Jiang. Enhanced Component Analytical Solution for Performance Adaptation and Diagnostics of Gas Turbines[J]. Energies, 2021, Volume 14 ,NO.14:4356 2.

• B. Yan, M. Hu, K. Feng* and Z. Jiang. A tuning scheme of cycle reference point for gas turbine adaptive performance simulation with field data[J]. Journal of Mechanical Science and Technology ,2020, Volume 34 ,NO.12:5279-5294 3.

• Ya He, Kun Feng*, Minghui Hu*,Jinmiao Cui. A MCM-Enhanced Compressive Sensing for Weak Fault Feature Extraction of Rolling Element Bearings at Variable Speed，Shock and Vibration, Volume 2020, Article ID 1745184, 4.

• Y. He, M. Hu, K. Feng* and Z. Jiang. An Intelligent Fault Diagnosis Scheme Using Transferred Samples for Intershaft Bearings Under Variable Working Conditions, IEEE Access, Volume. 8, pp. 203058-203069, 2020. 5.

• K.Feng, Zhenqiao Zhu, Yanfei Zuo*,et al. A reverse method of unbalance response at bearing position of thin-walled casing engines. Journal of Vibration and Shock (IN CHINESE) ,2020, Volume 39 No 16.

Email: garciapeyrano@yahoo.com.ar

Research interests: Fault Diagnosis, condition monitoring and Vibration Analysis

• Marticorena, M., Mayer, R., Vignolo, J., & García Peyrano, O. (2020). Torsional Vibration Analysis Applied for Centrifugal Pump Condition Monitoring. In A. Ball, L. Gelman, & B. K. N. Rao (Eds.), Advances in Asset Management and Condition Monitoring (pp. 1566): Springer International Publishing.
• IAEA TECDOC No. 1920: Condition Monitoring and Incipient Failure Detection of Rotating Equipment in Research Reactors. (2020). Vienna: INTERNATIONAL ATOMIC ENERGY AGENCY Retrieved from: https://www.iaea.org/publications/13625/condition-monitoring-and-incipient-failure-detection-of-rotating equipment-in-research-reactors

Research Interests: Rotor dynamic Behavior analysis and Incipient Failure Identification

• O. García Peyrano, D. Vaccaro, R. Mayer and M. Marticorena, (2021). Online Method for Assessment and Tracking of Wear in Kaplan Turbine Runner Blades Operating Mechanism. TEPEN 2021 & IncoME-VI conference. Tianjin, P. R. China.
• M. Marticorena, R. Mayer, J. Vignolo, O. García Peyrano. (2020) Torsional Vibration Analysis Applied for Centrifugal Pump Condition Monitoring. Advances in Asset Management and Condition Monitoring, COMADEM 2019. Queensgate, Huddersfield, UK.

Email: minxie@cityu.edu.hk

Webpage: ‪https://scholar.google.com/citations?user=PFd6JPcAAAAJ

Research Interests: Reliability Engineering, Quality Management, Software Reliability and Applied Statistics

• Yao, Y., Wang, J., & Xie, M. (2022). Adaptive residual CNN-based fault detection and diagnosis system of small modular reactors. Applied Soft Computing, 114, 108064.
• Zhang, P., Xie, M., & Zhu, X. (2021). Exploiting structural similarity in network reliability analysis using graph learning. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 1748006X211009329.

Email: zijzhang@cityu.edu.hk

Research Interests: Data Mining, Computational Intelligence, Renewable Energy, Smart Systems and Modeling and Optimization

• L. Wang, Z. Zhang, J. Xu, R. Liu, “Wind Turbine Blade Breakage Monitoring with Deep Autoencoders,” IEEE Transactions on Smart Grid, Vol. 9, No. 4, pp. 2824 – 2833, 2018.
• H. Long, M. Eghlimi, and Z. Zhang, “Configuration Optimization and Analysis of a Large Scale PV/wind System”, IEEE Transactions on Sustainable Energy, Vol. 8, No. 1, pp. 84-93, 2017.

Email: a.albarbar@mmu.ac.uk

• Reliability Assessment of IGBT through Modelling and Experimental Testing. IEEE Access. ISSN 2169-3536. https://ieeexplore.ieee.org/document/8995508
• Progressive Failure Mechanism of Laminated Composites under Fatigue Loading. Composite Materials. https://doi.org/10.1177/0021998320944990
• Machine Learning Based Vehicle to Grid Strategy for Improving the Energy Performance of Public Buildings. Sustainability 2021, 13(7), 4003. https://www.mdpi.com/2071-1050/13/7/4003

Email: M.Amoozgar@nottingham.ac.uk

Email: rahizar@um.edu.my

Webpage: http://www.researcherid.com/rid/B-9529-2010 

Research interests: Acoustics, Condition-based maintenance, Condition monitoring and fault diagnosis, engineering, structural & multi-body dynamics, transportation, vehicle dynamics and control and vibration and acoustics.

Email: Haiyang.Li@hud.ac.uk

Research interests: Fault diagnosis and condition monitoring for induction motors based on instantaneous electrical signatures

• Li, H., Feng, G., Zhen, D., Gu, F., & Ball, A. D. (2020). A Normalized Frequency-Domain Energy Operator for Broken Rotor Bar Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement, 70, 1-10.
• Li, H., Wang, Z., Zhen, D., Gu, F., & Ball, A. (2019). Modulation sideband separation using the Teager–Kaiser energy operator for rotor fault diagnostics of induction motors. Energies, 12(23), 4437.

Email: fusirnpu1606@163.com

Research interests: Rotating system modelling and dynamics analysis with uncertainty, Machinery condition monitoring and fault diagnosis, Rotordynamics, Structural health monitoring.

• Fu, C., Xu, Y., Yang, Y., Lu, K., Gu, F., & Ball, A. (2020). Response analysis of an accelerating unbalanced rotating system with both random and interval variables. Journal of Sound and Vibration, 466, 115047.

Email: khaldon77m@uoanbar.edu.iq ;khaldon77m@gmail.com

Website: https://www.uoanbar.edu.iq/English/staff-page.php?ID=720

Research interests: Vibration and modal analysis, Dynamic system failure detection and identification,

Carrying out finite element analysis, Knowledge of mathematical and computer modelling of dynamic systems.

• Brethee, K., Zhen D. Gu, F. and Ball, A. (2017) ‘Helical Gear Wear Monitoring: Modelling and Experimental Validation’ Mechanism and Machine Theory, 117, pp. 210-229. ISSN: 0094-114X.
• Brethee, K. F., Ibrahim, G. R., & Mohammed, R. A. (2020) Using Envelope Analysis and Compressive Sensing Method for Intelligent Fault Diagnosis of Ball Bearing. Advances in Science, Technology and Engineering Systems Journal Vol. 5, No. 5, 370-375, ISSN: 2415-6698.

Email: kangyang1125@163.com

Webpage: https://www.researchgate.net/profile/Yang_Kang

Research interests: Dynamics analysis; Structural dynamics; Rotor system 

• Yang K., Zhanqun S., Hao Z., Dong Z., Fengshou G.. A Novel Method for the Dynamic Coefficients Identification of Journal Bearings Using Kalman Filter. Sensors 2020, 20, 565.
• Yang K., Zizhen Q., Hao Z., Zhanqun S., Fengshou G.. Model updating for rotor-discs system and its application in dynamic coefficients identification of journal bearings. Measurement, doi.org/10.1016/j.measurement.2020.108645.

Email: qiuziz92@163.com

Webpage: https://www.researchgate.net/profile/Zizhen_

Research interests: Vibro-acoustics; NVH; PMSM; SVPWM; Sideband harmonics 

• Z. Qiu, Y. Kang, Y. Chen, X. Liu and F. Gu, “”Investigation into Periodic Signal-based Dithering Modulations for Suppression Sideband Vibro-acoustics in PMSM Used by Electric Vehicles,”” in IEEE Transactions on Energy Conversion, doi: 10.1109/TEC.2020.3046669.
• Z. Qiu, Y. Chen, X. Liu, Y. Kang and H. Liu, “”Analysis of the sideband current harmonics and vibro-acoustics in the PMSM with SVPWM,”” in IET Power Electronics, vol. 13, no. 5, pp. 1033-1040, April 2020.” 

Email: q.li@tees.ac.uk
Webpage: Quan Bing Eric Li — Teesside University’s Research Portal
Research interests: Computational mechanics; Advanced engineering materials and structures; Artificial intelligence; Biomechanics; Topology optimization; Acoustic analysis, and Battery modeling.

• Xu, X., Li, Z., Yan, T., & Li, Q. B. E. (2022). A novel control approach for the fixed-time synchronization of the complex networks. IEEE Transactions on Circuits and Systems II: Express Briefs. https://doi.org/10.1109/TCSII.2022.3150646

Email: duanf@lsbu.ac.uk

Webpage: Academic staff : Fang Duan LSBU
Research interests: Condition monitoring; Asset management; Electrical and electronic engineering.

• Makeen, P., Ghali, H. A., Memon, S., & Duan, F. (2023). Smart techno-economic operation of electric vehicle charging station in Egypt. Energy, 264, 126151.

Lord Kumar Bhattacharyya Chair Professor
Chairperson, Centre of Excellence in Advanced Manufacturing Technology, IIT Kharagpur
Professor, Department of Mechanical Engineering, IIT Kharagpur
Distinguished Visiting Professor, University of Connecticut, USA

Email: skpal@mech.iitkgp.ernet.in

Website: http://www.facweb.iitkgp.ac.in/~skpal/

• Iqbal, Md Perwej, et al. “Numerical modelling of friction stir welding of pipes: Effect of tool shoulder on mechanical property and metallurgical characterization.” Journal of Manufacturing Processes 79 (2022): 326-339.
• Sen, Debolina, Surjya Kanta Pal, and Sushanta Kumar Panda. “Fabrication of longitudinal welded tube of aluminum alloy for structural application using friction stir welding process and its characterization.” Archives of Civil and Mechanical Engineering 22.2 (2022): 1-21.

Prof. A. R. Mohanty, PhD, FNAE, FASI, FCMSI, FISEAM, FCVS, CEng(I)
Professor and Former Head of the Department Department of Mechanical Engineering, Indian Institute of Technology Kharagpur Kharagpur 721302, INDIA

Email: amohanty@mech.iitkgp.ac.in

Research interests: Noise Vibration Condition Monitoring Motor Current Underwater Acoustics

• Fatima, S., & Mohanty, A. R. (2011). Acoustical and fire-retardant properties of jute composite materials. Applied acoustics, 72(2-3), 108-114.

• Jalan, A. K., & Mohanty, A. R. (2009). Model based fault diagnosis of a rotor–bearing system for misalignment and unbalance under steady-state condition. Journal of sound and vibration, 327(3-5), 604-622.

• Rai, V. K., & Mohanty, A. R. (2007). Bearing fault diagnosis using FFT of intrinsic mode functions in Hilbert–Huang transform. Mechanical systems and signal processing, 21(6), 2607-2615.

• Mohanty, A. R., & Kar, C. (2006). Fault detection in a multistage gearbox by demodulation of motor current waveform. IEEE transactions on Industrial Electronics, 53(4), 1285-1297.

Email: wuj@hust.edu.cn

Webpage: http://faculty.hust.edu.cn/Junwu; https://www.researchgate.net/profile/Jun-Wu-60

Research interests: Condition monitoring; health monitoring; anomaly detection; fault diagnosis; remaining useful life prediction; predictive maintenance; deep learning; cloud computing.

• Kui Hu , Yiwei Cheng , Jun Wu, Haiping Zhu, Xinyu Shao. Deep bidirectional recurrent neural networks ensemble for remaining useful life prediction of aircraft engine. IEEE Transactions on Cybernetics, 2023,53(4):2531-2543. Zuoyi Chen, Zirui Li, Jun Wu, Chao Deng, Wei Dai. Deep residual shrinkage relation network for anomaly detection of rotating machines. Journal of Manufacturing Systems, 2022, 65: 579-590
• Jun Wu, Pengfei Guo, Yiwei Cheng, Haiping Zhu, Xian-Bo Wang, Xinyu Shao. Ensemble generalized multiclass support vector machine-based health evaluation of complex degradation systems. IEEE/ASME Transactions on Mechatronics, 2020, 25(5): 2230-2240
• Jun Wu, Chaoyong Wu, Shuai Cao, Siu Wing Or, Chao Deng and Xinyu Shao. Degradation data-driven time-to-failure prognostics approach for rolling element bearings in electrical machines. IEEE Transactions on Industrial Electronics, 2019, 66(1): 529-539.

Email: morchard@ing.uchile.cl

Website: https://www.cec.uchile.cl/~morchard/

Research interests: Failure Prognosis in Nonlinear Dynamic Systems; Theory and Practice; Bayesian Processors for State Estimation in Non-Gaussian Dynamic Systems; Prognostics-based Decision Making in Complex Dynamic Systems; E-mobility and Battery Monitoring Systems

• Díaz, C.; Quintero, V.; Pérez, A.; Jaramillo, F.; Burgos-Mellado, C.; Rozas, H.; Orchard, M.; Sáez, D.; Cárdenas, R., “Particle-filtering-based Prognostics for the State of Maximum Power Available in Lithium-Ion Batteries at Electromobility Applications” IEEE Transactions on Vehicular Technology, Vol. 69, Issue 7, pp. 7187-7200, 2020. DOI: https://doi.org/10.1109/TVT.2020.2993949
• Futalef, J.P.; Muñoz-Carpintero, D.; Rozas, H.; Orchard, M., “An online decision-making strategy for routing of electric vehicle fleets,” Information Sciences, Vol. 625, pp. 715–737, 2023. DOI: https://doi.org/10.1016/j.ins.2022.12.108

Email: ugumaran.v@vit.ac.in

Webpage: https://chennai.vit.ac.in/member/dr-sugumaran-v/

Research interests: Condition monitoring and Fault diagnosis using machine learning and deep learning

• Naveen Venkatesh, S., Sugumaran, V., Deep learning-based ensemble model for classi cation of photovoltaic module visual faults, Energy Sources, Part A: Recovery, Utilization and Environmental E ects, Volume 44, Issue 2, Pages 5287 – 5302, 2022.

• Chakrapani, G., Sugumaran, V., Transfer learning based fault diagnosis of automobile dry clutch system Engineering Applications of Arti cial Intelligence, Volume 117, January 2023, Article number 105522.

Email: rsanchezl@ups.edu.ec

Webpage: https://scholar.google.es/citations?user=Sa3cH1oAAAAJ&hl=es

Research interests: Condition Monitoring; Fault diagnosis; Mechanical Engineering; Maintenance; Engineering Education.

• Cerrada, M., Sánchez, R. V., Li, C., Pacheco, F., Cabrera, D., de Oliveira, J. V., & Vásquez, R. E. (2018). A review on data-driven fault severity assessment in rolling bearings. Mechanical Systems and Signal Processing, 99, 169-196. https://doi.org/10.1016/j.ymssp.2017.06.012
• Chen, Z., Li, C., & Sanchez, R. V. (2015). Gearbox fault identification and classification with convolutional neural networks. Shock and Vibration, 2015.

Email: dcabrera@ups.edu.ec

Webpage: https://scholar.google.es/citations?user=ZIKw_DAAAAAJ&hl=es

Research interests: Machine Learnin, Predictive Maintenance

• Cabrera, D., Sancho, F., Li, C., Cerrada, M., Sánchez, R.-V., Pacheco, F., & de Oliveira, J. V. (2017). Automatic feature extraction of time-series applied to fault severity assessment of helical gearbox in stationary and non-stationary speed operation. In Applied Soft Computing (Vol. 58, pp. 53–64). Elsevier BV. https://doi.org/10.1016/j.asoc.2017.04.016

• Cabrera, D., Guamán, A., Zhang, S., Cerrada, M., Sánchez, R.-V., Cevallos, J., Long, J., & Li, C. (2020). Bayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor. In Neurocomputing (Vol. 380, pp. 51–66). Elsevier BV. https://doi.org/10.1016/j.neucom.2019.11.006

Email: mcerrada@ups.edu.ec

Webpage: https://scholar.google.com/citations?user=UhJy5lgAAAAJ&hl=es&oi=ao

Research interests: Machine Learning; Fault detection and diagnosis; Condition based monitoring; Control Systems

• Cerrada, M., Zurita, G., Cabrera, D., Sánchez, R. V., Artés, M., & Li, C. (2016). Fault diagnosis in spur gears based on genetic algorithm and random forest. Mechanical Systems and Signal Processing, 70, 87-103.
• Pacheco, F., Cerrada, M., Sánchez, R. V., Cabrera, D., Li, C., & de Oliveira, J. V. (2017). Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery. Expert Systems with Applications, 71, 69-86.

Email: rsanchezl@ups.edu.ec

Webpage: https://scholar.google.com/citations?user=HCyAZMQAAAAJ

Research interests: Process Control and Monitoring, Fault Diagnosis, Air Pollution, Energy Modeling

• Modelling valve stiction MAAS Choudhury, NF Thornhill, SL Shah, Control engineering practice 13 (5), 641-658 427 2005
• Diagnosis of poor control-loop performance using higher-order statistics MAAS Choudhury, SL Shah, NF Thornhill Automatica 40 (10), 1719-1728

Email: silvio.simani@unife.it

Webpage: https://docente.unife.it/docenti-en/silvio.simani?set_language=en; https://scholar.google.com/citations?user=jhVXt5YAAAAJ&hl=en

Research interests: Fault diagnosis and fault tolerant control of linear and nonlinear dynamic processes, system modelling, identification and data analysis, linear and nonlinear filtering techniques, fuzzy logic and neural networks for modelling and control, as well as the interaction issues among identification, fault diagnosis, fault tolerant and sustainable control. These techniques have been applied to power plants, renewable energy conversion systems, aircraft and spacecraft processes.

• H. Habibi, I. Howard, S. Simani, and A. Fekih, “Decoupling adaptive sliding mode observer design for wind turbines subject to simultaneous faults in sensors and actuators,” IEEE/CAA Journal of Automatica Sinica, vol. 8, pp. 837-847, April 2021. ISSN: 2329-9274. DOI: 10.1109/JAS.2021.1003931
• P. Baldi, M. Blanke, P. Castaldi, N. Mimmo, and S. Simani, “Fault Diagnosis for Satellite Sensors and Actuators using Nonlinear Geometric Approach and Adaptive Observers,” International Journal of Robust and Nonlinear Control, vol. 29, pp. 5429-5455, April 2018. DOI: 10.1002/rnc.4083. Special Issue: Fault Diagnosis and Fault-Tolerant Control in Aerospace Systems.

Email: chr@mail.xjtu.edu.cn

Webpage: http://gr.xjtu.edu.cn/web/hrcao/

Research interests: Rotor dynamics and fault diagnosis

• Cao H, Zhang X, Chen X. The concept and progress of intelligent spindles: A review. International Journal of Machine Tools & Manufacture. 2017;112:21-52.

Email: wenlong@cug.edu.cn

Webpage: https://www.researchgate.net/profile/Long-Wen-9

Research interests: Deep Learning; Fault Diagnosis; Remaining Useful Life Estimation; Automatic Machine Learning

L Wen, XY Li, L Gao, YY Zhang, “A New Convolutional Neural Network based Data-Driven Fault Diagnosis Method,” IEEE Transactions on Industrial Electronics, 65(7): 5990-5998, 2018.

L Wen, L Gao and XY Li, “A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49(1): 136-144, 2019.