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Prof Andrew Ball, A.Ball@hud.ac.uk, Pro Vice-Chancellor (Research & Enterprise) at University of Huddersfield, 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
Prof Fengshou Gu, F.Gu@hud.ac.uk, Deputy Director of Centre for Efficiency and Performance Engineering (CEPE), Vibroacoustics, Electrical signature, thermal imaging, modelling and analysis, intelligence 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
Prof Len Gelman, Director of Centre for Efficiency and Performance Engineering (CEPE)
Prof Pavlos Lazaridis, P.Lazaridis@hud.ac.uk, Leader of the Systems, Telecommunications, and Antennas Research (STAR) group, 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
Dr Guojin (Frank) Feng, G.Feng@hud.ac.uk, Senior Research Fellow, On-rotor Sensing, Wireless sensor network, Machinery condition monitoring and fault diagnosis, Signal, processing, Nondestructive testing.
Dr Chao Fu, C.Fu@hud.ac.uk, Research Fellow, 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.
Dr Yongrui (Louie) Qin, y.qin2@hud.ac.uk, Senior Lecturer, 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)
Dr Mohammadreza Amoozgar,
Dr Bo Liang,
Dr Robert Cattley,
Dr Ann Smith,
Dr Dezun Zhao, D.Zhao@hud.ac.uk, 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.
Dr Ruichen Wang, R.Wang@hud.ac.uk, Industrial Fellow, 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.
Mr Xiuquan Sun,
Mr Miaoshuo Li,
Mrs Haiyang Li, Haiyang.Li@hud.ac.uk, 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.
Funso Otuyemi, Funso.otuyemi@hud.ac.uk, 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 Zuolu Wang, Zuolu.Wang@hud.ac.uk, 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.
Mr Khalifa Bllau, Khalifa.Bllau@hud.ac.uk, Tool wear condition monitoring
Visit Tsinghua University
Prof Fulei Chu, chufl@mail.tsinghua.edu.cn, Vice President of the Chinese Society for Vibration Engineering (CSVE), President of Fault Diagnostic Engineering Society of China, 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.
Dr Tianyang Wang, wty19850925@126.com, Associate Professor, 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.
Mr Rongfeng Deng, Rongfeng.Deng2@hud.ac.uk, 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).
Prof Siqin Pang,
Prof Bing Li,
Mr Shiqing Huang, Shiqing.Huang@hud.ac.uk, 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).
Mr Weijie Tang, Weijie.Tang@hua.ac.uk, 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.
Miss Zhexiang Zou, Zhexiang.Zou@hud.ac.uk, 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.
Mr Yubin Lin, Yubin.Lin@hud.ac.uk, Noise and vibration control, Metamaterial, Unmanned aerial vehicle.
Mr Lichang Gu, Lichang.Gu@hud.ac.uk, Research on thermal and vibration coupling effects of multi-physics metamaterials for the energy recovery to power up wireless condition monitoring systems
Miss Chun Li, Chun.Li@hud.ac.uk, 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.
Mr Xinfeng Zou,
Mr Huanqing Han, Huanqing.Han@hud.ac.uk, 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.
Prof Zhike Peng, z.peng@sjtu.edu.cn, Dean of School of Mechanical Engineering, 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
Prof Qingbo He, qbhe@sjtu.edu.cn, Professor in Institute of Vibration, 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
Dr Dong Wang, dongwang4-c@sjtu.edu.cn, Associate Professor, 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.
Prof Shixi Yang, yangsx@zju.edu.cn, 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.
Prof Yi Cao, caoyi2018@zju.edu.cn, Professor in College of Chemical and Biological Engineering in Zhejiang University, 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.
Prof Yimin Shao,
Dr Wenbin Huang,
Dr Qiang Zeng,
Mr Minmin Xu, cqu_xmm@outlook.com, 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
Miss Yaoyao Han, cqu_hyy@outlook.com, Production scheduling; PHM; Maintenance
Prof Qian Ding,
Prof Qichang Zhang,
Dr Wei Wang, wangweifrancis@tju.edu.cn, 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.
Miss Zhixia Wang,
Mr Kun Wu,
Prof Dong Zhen, d.zhen@hebut.edu.cn, Vice-Dean of School of Mechanical Engineering, 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.
Prof Zhanqun Shi, z_shi@hebut.edu.cn, Director of the engineering training center, 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.
Dr Hao Zhang, zhanghao@hebut.edu.cn, 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.
Dr Zhaozong Meng, zhaozong.meng@hebut.edu.cn, Associate Professor, 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.
Dr Huibo Zhang,
Mr Junchao Guo,
Miss Jiaojiao Ma, majiaojiaos@163.com, 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
Mr Zizhen Qiu, qiuziz92@163.com,Tianjin Key Laboratory of Power Transmission and Safety Technology for New Energy Vehicles, 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.”
Mrs. Yang Kang, kangyang1125@163.com, Tianjin Key Laboratory of Power Transmission and Safety Technology for New Energy Vehicles, 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.
Prof Ruiliang Zhang,
Prof Tie Wang,
Prof Jianjun Zhu,
Dr Kaibo Lu, lvkaibo@tyut.edu.cn, 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.
Dr Guoxing Li, liguoxing@tyut.edu.cn, 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).
Dr Zhifei Wu, wuzhifei@tyut.edu.cn, 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
Dr Aiying Yao,
Prof Niaoqing Hu, Director of Diagnostic Engineering Research Centre,
Prof Guoji Shen,
Prof Xiaojun Xu,
Prof Jiongqi Wang, wjq_gfkd@163.com, 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
Dr Zhe Cheng,
Dr Junqi Wang,
Dr Dingxin Yang,
Dr Haijun Xu,
Dr Jingwei Gao,
Dr Lijun Song,
Dr Han Long,
Dr Xiang Zhang,
Prof Weihua Li, whlee@scut.edu.cn, Deputy Dean in School of Mechanical & Automotive Engieering, 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)
Prof Hongliang Zhao,
Prof Jigang Wu, jgwu@hnust.edu.cn, 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.
Prof David Mba, Pro Vice-Chancellor and Dean of Computing and Engineering at De Montfort University
Dr Xiaochuan Li,
Prof Stephan Heyns, Director of the Centre for Asset Integrity Management
Prof Jyoti Sinha, Jyoti.Sinha@manchester.ac.uk, Professor of Condition Monitor & Plant Maintenance, 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.
Prof Zhixin Yang, State Key Laboratory of Internet of Things for Smart City, Director of Research Service and Knowledge Transfer Office
Dr Wenbo Duan, Senior Lecturer (Fellow of Higher Education Academy)
Prof Hongjun Wang, Vice director of Science and Technology Department
Prof Zhuo Li, Vice Dean of Graduate School
Dr Yongjian Ji, jiyongjian@bistu.edu.cn, 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.
Prof Yanzhong Wang,
Prof Lei Hu, hulei0819@foxmail.com, 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
Dr Hui Shi, huishi@tyust.edu.cn, Prognostics and Health Management
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
Dr Nasha Wei, weinasha@hotmail.com, 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
Dr Zhi Chen,
Dr Xiang’e Tian, tianxiange@ujs.edu.cn, 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
Prof Xiaodong Li,
Prof Fenglei Jiao,
Dr Luyang Guan,
Dr Yuandong Xu, y.xu@imperial.ac.uk, 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.
Dr Xiaoli Tang, X.Tang4@aston.ac.uk,Research Fellow, 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.
Dr Yongbo Li,
Dr Tao Dong,
Prof Guangbin Wang, jxxwgb@126.com, 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
Prof Lingli Jiang, linlyjiang@163.com, 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.
Prof Isa YESILYURT, isa.yesilyurt@usak.edu.tr, Professor in Faculty of Engineering, 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.
Dr Fulong Liu, fulong_liu@email.tjut.edu.cn, 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
Dr Yunpeng Cao, caoyunpeng@hrbeu.edu.cn, 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).
Dr Jingzhou Fei,
Mr Weili Tang, 358892887@qq.com, 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.
Mr Chen Qiu, 303494977@qq.com, Optimization of structural performance
Prof Ruicheng Feng, postfeng@lut.edu.cn 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.
Dr Haiyan Li, y5217@163.com, 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.
Dr Qin Wu, qwu.1973@hotmail.com, 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.
Dr Junfeng Guo,
Prof Jianguo Wang, wjgkyc@imust.edu.cn, 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.
Prof Chao Zhang, zhanghero@imust.edu.cn, 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.
Ms Xiaoxia Liang, xiaoxia.liang@twi.co.uk, 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.
Dr Yuqi Wang, sdyuqi@126.com, 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.
Dr. Jinxin WANG, wangjinxin@cumt.edu.cn/wangjinxin@hrbeu.edu.cn, 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.
Dr Yuliang Yun, ylyun1981@163.com, 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
Miss Yanfen Liu, liu_yanfen@163.com, 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)
Dr Jiandong Yu,
Dr Qing Xiong, 1220160002@mail.xhu.edu.cn,Deputy director and Party branch secretary of Automobile Engineering Department, 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.
Dr Xianghong Wang, wangxianghong@csust.edu.cn, 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.
Dr Pieter Van Vuuren,
Dr Ashraf Sheri, ashraf.sheri@nwu.ac.za, 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.
Dr Junyi Lin, ljy2004@hqu.edu.cn, 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.
Dr Yanfeng Xing,
Lin Zheng, zhenglin@dlnu.edu.cn, Vice Director of Education Evaluation Center, 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
Dr Lin Song, songlin03@sina.com, 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.
Dr Hui Han,
Mr Chenpeng Cui,
Prof Guojun Qin, qgjnudt@163.com, PHM of Equipment, including sensors, sensor network, signal processing, machine learning, etc
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)
Dr Fang Yu,
Dr Xiaojun Zhou,
