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Mr. Dawei Shi, Self-powered Wireless On-Rotor-Sensing Technologies for Induction Motor Condition Monitoring
Project Title: Self-powered Wireless On-Rotor-Sensing Technologies for Induction Motor Condition Monitoring
Email: dawei.shi@hud.ac.uk
Research Interests: ORS, IoT, IMs Fault Diagnosis, Signal Processing, FE Modelling, Energy Harvesting
Representative Publications:
D Shi, Y He, et al, “Power Consumption Analysis of an On-Rotor Sensing Sensor Node for Motor Vibration Monitoring” [C], TEPEN 2023, 2023
Mr. Samuel Ayankosi, Machine Learning Based Condition Monitoring for Industrial Collaborative Robots
Project Title: Machine Learning Based Condition Monitoring for Industrial Collaborative Robots
Email: samuel.ayankosi@hud.ac.uk
Research Interests: Predictive Maintenance, AI based Condition Monitoring, Data Driven Modelling, Digital Twin, Robotics
Representative Publications:
Multisensory data-based fault diagnosis for induction motors using 1D and 2D convolutional neural networks https://link.springer.com/book/9783031494123
Mr. Zhifeng Hu, Characterizing the Dynamic Nonlinearity of Rotating Machines based on On-Rotor Sensing Digital Twin for Condition Monitoring
Project Title: Characterizing the Dynamic Nonlinearity of Rotating Machines based on On-Rotor Sensing Digital Twin for Condition Monitoring
Email: Zhifeng.Hu@hud.ac.uk
