About
Contact & Profiles
A5006858933
Research Areas
- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
- Gear and Bearing Dynamics Analysis
- Engineering Diagnostics and Reliability
- Mineral Processing and Grinding
- Smart Grid and Power Systems
- Advanced Algorithms and Applications
- Tunneling and Rock Mechanics
Beijing University of Technology
2023-2024
Limited operating data resulting from complex and changeable working conditions significantly undermines the performance of deep learning-based methods for rolling bearing fault diagnosis. Generally, this problem can be solved by using generative adversarial network (GAN) to augment data. However, most GAN-based seldom comprehensively consider global interactions local dependencies in raw vibration signals during generation, leading a decline quality generated compromising diagnostic...
10.1109/tim.2023.3271729
article
EN
IEEE Transactions on Instrumentation and Measurement
2023-01-01
10.1016/j.knosys.2024.112478
article
EN
Knowledge-Based Systems
2024-09-07
10.1109/tim.2024.3449983
article
EN
IEEE Transactions on Instrumentation and Measurement
2024-01-01
10.1109/tim.2024.3504560
article
EN
IEEE Transactions on Instrumentation and Measurement
2024-01-01
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