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Dongdong WEI [resume]
PhD Candidate
Reliability Research Lab
9211-116 Street NW, Edmonton
Email: do1[AT]ualberta[DOT]ca |
Dongdong Wei is now a PhD candidate in Department of Mechanical Engineering, University of Alberta. His PhD topic is to develop machine learning methods for health condition monitoring of wind turbines. He finished both his Engineering Bachelor and Master degrees at University of Electronic Science and Technology of China (UESTC), in 2015 and 2018.
Open Source Projects [GitHub]
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deep-sensor: A deep learning framework for fault diagnositcs with PyTorch
Dongdong Wei Containing source code for a CMMNO2018 paper |
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github |
Personal webpage for research
Dongdong Wei |
Selected Papers [Google Scholar]
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Weighted domain adaptation networks for machinery fault diagnosis
Dongdong Wei, Te Han, Fulei Chu, Ming Zuo Mechanical Systems and Signal Processing 2021. |
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Adversarial Domain Adaptation for Gear Crack Level Classification Under Variable Load
Dongdong Wei, Te Han, Fulei Chu, Ming Zuo APARM 2020. |
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Convolutional neural networks for fault diagnosis using rotating speed normalized vibration
Dongdong Wei, KeSheng Wang, Stephan Heyns, Ming Zuo CMMNO 2018. |
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Sweep excitation with order tracking: A new tactic for beam crack analysis
Dongdong Wei, KeSheng Wang, Mian Zhang, Ming Zuo Journal of Sound and Vibration 2018. |