- Machine Fault Diagnosis Techniques
- Gear and Bearing Dynamics Analysis
- Structural Health Monitoring Techniques
- Tribology and Lubrication Engineering
- Advanced Measurement and Detection Methods
- Advanced Sensor and Control Systems
- Advanced Electrical Measurement Techniques
- Image and Signal Denoising Methods
- Advanced machining processes and optimization
- Advanced Algorithms and Applications
- Fault Detection and Control Systems
- Advanced Computational Techniques and Applications
- Sensor Technology and Measurement Systems
- Hydraulic and Pneumatic Systems
- Mechanical Engineering and Vibrations Research
- Engineering Applied Research
- Electric Motor Design and Analysis
- Sensorless Control of Electric Motors
- Industrial Technology and Control Systems
- Vehicle Noise and Vibration Control
- Anomaly Detection Techniques and Applications
- Ultrasonics and Acoustic Wave Propagation
- Magnetic Properties and Applications
- Iterative Learning Control Systems
- Advanced Sensor Technologies Research
Hong Kong Polytechnic University
2025
Drug Discovery Laboratory (Norway)
2025
Beijing University of Chemical Technology
2025
South China University of Technology
2013-2024
Guangzhou Automobile Group (China)
2023
Hefei University of Technology
2011
Key Laboratory of Guangdong Province
2009
Daewoo Shipbuilding and Marine Engineering (South Korea)
2005
Shantou University
2000-2003
Xi'an Jiaotong University
2003
Remaining useful life (RUL) prediction of rolling bearings is great importance in improving the reliability and durability rotating machinery. This paper proposes a dual-attention-based convolutional neural network with accurate stage division for RUL prediction, which includes two subsections, i.e., First time (FPT) determination estimation. Firstly, signal features characterizing bearing degradation process are fused by Wasserstein Distance to perform robustness. The correct labeled...
Harmonic injection method is widely used in the suppression of current harmonic and torque ripple field-oriented control (FOC) permanent magnet synchronous motor (PMSM) servo system. However, under some working conditions FOC PMSM, fails to suppress harmonics causes oscillation. To analyze cause oscillation, transfer mechanism injected voltage analyzed this article, relation between derived. The theoretical analysis results show that will change with speed parameters PMSM. When reversed,...
Sparse decomposition has been widely used in gear local fault diagnosis due to its outstanding performance feature extraction. The extraction results depend heavily on the similarity between dictionary atoms and signal. However, transient impact signal aroused by defect is usually submerged meshing harmonics noise. It still a challenging task construct high-quality for complex actual To handle this issue, novel method based Empirical Mode Decomposition (EMD) sparse proposed paper. Firstly,...
Frequency components of complicated asymmetric modulation sidebands, existing in the vibration healthy planetary gear train, are prone to be erratically diagnosed as fault characteristics, which leads difficulties diagnosis wind turbine gearbox. The factors affecting sideband, i.e. periodical time‐varying transmission path and meshing force direction, analysed. Considering both vibrations planet–ring planet–sun pairs, a mathematical model was developed analyse train's response. Simulation...
Torque ripple degrades the performance of a permanent magnet synchronous motor (PMSM). Harmonic injection method can minimize torque well by suppressing speed harmonic. But its under transient conditions is not satisfactory. Moreover, too much computation and complex parameter adjustment limit application in multiharmonic suppression speed. Therefore, this article proposes an order-domain-based harmonic (OHI) for multiple harmonics both steady-state conditions. In OHI method, are extracted...