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Bin Yang
标题
引用次数
引用次数
年份
Applications of machine learning to machine fault diagnosis: A review and roadmap
Y Lei, B Yang, X Jiang, F Jia, N Li, AK Nandi
Mechanical Systems and Signal Processing 138, 106587, 2020
16802020
An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings
B Yang, Y Lei, F Jia, S Xing
Mechanical Systems and Signal Processing 122, 692-706, 2019
6652019
A polynomial kernel induced distance metric to improve deep transfer learning for fault diagnosis of machines
B Yang, Y Lei, F Jia, N Li, Z Du
IEEE Transactions on Industrial Electronics 67 (11), 9747-9757, 2019
1752019
Deep transfer diagnosis method for machinery in big data era
雷亚国, 杨彬, 杜兆钧, 吕娜
Journal of Mechanical Engineering 55 (7), 1-8, 2019
972019
Multi-source transfer learning network to complement knowledge for intelligent diagnosis of machines with unseen faults
B Yang, S Xu, Y Lei, CG Lee, E Stewart, C Roberts
Mechanical Systems and Signal Processing 162, 108095, 2022
802022
Remaining useful life prediction with partial sensor malfunctions using deep adversarial networks
X Li, Y Xu, N Li, B Yang, Y Lei
IEEE/CAA Journal of Automatica Sinica 10 (1), 121-134, 2022
762022
Deep partial transfer learning network: A method to selectively transfer diagnostic knowledge across related machines
B Yang, CG Lee, Y Lei, N Li, N Lu
Mechanical Systems and Signal Processing 156, 107618, 2021
622021
Adaptive knowledge transfer by continual weighted updating of filter kernels for few-shot fault diagnosis of machines
S Xing, Y Lei, B Yang, N Lu
IEEE Transactions on Industrial Electronics 69 (2), 1968-1976, 2021
522021
Intelligent machinery fault diagnosis with event-based camera
X Li, S Yu, Y Lei, N Li, B Yang
IEEE Transactions on Industrial Informatics, 2023
402023
An optimal transport-embedded similarity measure for diagnostic knowledge transferability analytics across machines
B Yang, Y Lei, S Xu, CG Lee
IEEE Transactions on Industrial Electronics 69 (7), 7372-7382, 2021
322021
Deep targeted transfer learning along designable adaptation trajectory for fault diagnosis across different machines
B Yang, Y Lei, X Li, C Roberts
IEEE Transactions on Industrial Electronics 70 (9), 9463-9473, 2022
292022
A transfer learning method for intelligent fault diagnosis from laboratory machines to real-case machines
B Yang, Y Lei, F Jia, S Xing
2018 international conference on sensing, diagnostics, prognostics, and …, 2018
252018
A new evaluation method on hydraulic system using the instantaneous speed fluctuation of hydraulic motor
Y Liu, L Gu, B Yang, S Wang, H Yuan
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2018
122018
A comprehensive review on self-powered smart bearings
Y Zhang, W Wang, X Wu, Y Lei, J Cao, C Bowen, S Bader, B Yang
Renewable and Sustainable Energy Reviews 183, 113446, 2023
92023
A hybrid transfer learning method for fault diagnosis of machinery under variable operating conditions
Z Du, B Yang, Y Lei, X Li, N Li
2019 Prognostics and System Health Management Conference (PHM-Qingdao), 1-5, 2019
92019
A cooperation analysis method using internal and external features for mechanical and electro-hydraulic system
L Gu, B Yang
IEEE Access 7, 10491-10504, 2019
92019
A graph neural network-based data cleaning method to prevent intelligent fault diagnosis from data contamination
S Wang, Y Lei, B Yang, X Li, Y Shu, N Lu
Engineering Applications of Artificial Intelligence 126, 107071, 2023
62023
Targeted transfer learning through distribution barycenter medium for intelligent fault diagnosis of machines with data decentralization
B Yang, Y Lei, X Li, N Li
Expert Systems with Applications 244, 122997, 2024
42024
A new nonparametric degradation modeling method for truncated degradation signals by axis rotation
N Li, Y Lei, X Li, X Liu, B Yang
Mechanical Systems and Signal Processing 192, 110213, 2023
42023
A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis
S Wang, Y Lei, N Lu, X Li, B Yang
Frontiers of Mechanical Engineering 18 (2), 20, 2023
32023
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