Research Interests                                                                                                                                                                                

• Methodology and technology of transfer learning in machinery fault diagnosis

• Big-data-driven intelligent maintenance of machines

• Industrial applications of intelligent fault diagnosis with big-data era

  Selected Publications                                                                                                                                                                           

• Bin Yang, Yaguo Lei, Xiang Li, Naipeng Li. Targeted transfer learning through distribution barycenter medium for intelligent fault diagnosis of machines with data decentralization[J]. Expert Systems With Applications, 2024, 244: 122997.

• Bin Yang, Yaguo Lei*, Xiang Li, Naipeng Li, Asoke K. Nandi. Label recovery and trajectory designable network for transfer fault diagnosis of machines with incorrect annotation[J]. IEEE/CAA Journal of Automatica Sinica, 2024, 11(4): 932-945.

• Bin Yang, Yaguo Lei*, Xiang Li, Clive Roberts. Deep targeted transfer learning along designable adaptation trajectory for fault diagnosis across different machines[J]. IEEE Transactions on Industrial Electronics, 2023, 70(9): 9463-9473.

• Bin Yang, Yaguo Lei*, Songci Xu, Chi-Guhn Lee. An optimal transport-embedded similarity measure for diagnostic knowledge transferability analytics across machines[J]. IEEE Transactions on Industrial Electronics, 2022, 69(7): 7372-7382.

• Bin Yang, Songci Xu, Yaguo Lei*, Chi-Guhn Lee, Edward Stewart, Clive Roberts. Multi-source transfer learning network to complement knowledge for intelligent diagnosis of machines with unseen faults[J]. Mechanical Systems and Signal Processing, 2022, 162: 108095.

• Bin Yang, Chi-Guhn Lee, Yaguo Lei*, Naipeng Li, Na Lu. Deep partial transfer learning network: A method to selectively transfer diagnostic knowledge across related machines[J]. Mechanical Systems and Signal Processing, 2021, 156: 108095.

• Bin Yang, Yaguo Lei*, Feng Jia, Naipeng Li, Zhaojun Du. A polynomial kernel induced distance metric to improve deep transfer learning for fault diagnosis of machines[J]. IEEE Transactions on Industrial Electronics, 2020, 67(11): 9747-9757.

• Bin Yang, Yaguo Lei*, Feng Jia, Saibo Xing. An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings[J]. Mechanical Systems and Signal Processing, 2019, 122: 692-706.

• Yaguo Lei*, Bin Yang, Xinwei Jiang, Feng Jia, Naipeng Li, Asoke K. Nandi. Applications of machine learning to machine fault diagnosis: A review and roadmap[J]. Mechanical Systems and Signal Processing, 2020, 138: 106587.