Mitigating Negative Transfer Learning in Source Free-Unsupervised Domain Adaptation for Rotating Machinery Fault Diagnosis

被引:0
|
作者
Kumar Mp, Pavan [1 ]
Tu, Zhe-Xiang [1 ]
Chen, Hsu-Chi [2 ]
Chen, Kun-Chih [2 ]
机构
[1] National Sun Yat-sen University, Department of Computer Science and Engineering, Kaohsiung,80421, Taiwan
[2] Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu,300093, Taiwan
关键词
Compendex;
D O I
10.1109/TIM.2024.3476610
中图分类号
学科分类号
摘要
Information management
引用
收藏
相关论文
共 50 条
  • [21] Deep Reinforcement Learning-Based Online Domain Adaptation Method for Fault Diagnosis of Rotating Machinery
    Li, Guoqiang
    Wu, Jun
    Deng, Chao
    Xu, Xuebing
    Shao, Xinyu
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2022, 27 (05) : 2796 - 2805
  • [22] Semi-supervised source-free domain adaptation method via diffusive label propagation for rotating machinery fault diagnosis
    Su, Zhiheng
    Lian, Penglong
    Shang, Penghui
    Zhang, Jiyang
    Xu, Hongbing
    Zou, Jianxiao
    Fan, Shicai
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 252
  • [23] A Domain Adaptation with Semantic Clustering (DASC) method for fault diagnosis of rotating machinery
    Kim, Myungyon
    Ko, Jin Uk
    Lee, Jinwook
    Youn, Byeng D.
    Jung, Joon Ha
    Sun, Kyung Ho
    ISA TRANSACTIONS, 2022, 120 : 372 - 382
  • [24] Rotating machinery fault detection and diagnosis based on deep domain adaptation: A survey
    Zhang, Siyu
    Su, Lei
    Gu, Jiefei
    LI, Ke
    Zhou, Lang
    Pecht, Michael
    CHINESE JOURNAL OF AERONAUTICS, 2023, 36 (01) : 45 - 74
  • [25] Rotating machinery fault detection and diagnosis based on deep domain adaptation: A survey
    Siyu ZHANG
    Lei SU
    Jiefei GU
    Ke LI
    Lang ZHOU
    Michael PECHT
    Chinese Journal of Aeronautics, 2023, (01) : 45 - 74
  • [26] Rotating machinery fault detection and diagnosis based on deep domain adaptation: A survey
    Siyu ZHANG
    Lei SU
    Jiefei GU
    Ke LI
    Lang ZHOU
    Michael PECHT
    Chinese Journal of Aeronautics, 2023, 36 (01) : 45 - 74
  • [27] Step-by-step gradual domain adaptation for rotating machinery fault diagnosis
    Sun, Haoran
    Zeng, Jia
    Wang, Yi
    Ruan, Hulin
    Meng, Lihua
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2022, 33 (07)
  • [28] Source-free cross-domain fault diagnosis of rotating machinery using the Siamese framework
    Ma, Chenyu
    Tu, Xiaotong
    Zhou, Guanxing
    Huang, Yue
    Ding, Xinghao
    KNOWLEDGE-BASED SYSTEMS, 2024, 300
  • [29] Adaptive centroid prototype-based domain adaptation for fault diagnosis of rotating machinery without source data
    Li, Qikang
    Tang, Baoping
    Deng, Lei
    Yang, Qichao
    Zhu, Peng
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 251
  • [30] Balanced Adaptation Regularization Based Transfer Learning for Unsupervised Cross-Domain Fault Diagnosis
    Hu, Qin
    Si, Xiaosheng
    Qin, Aisong
    Lv, Yunrong
    Liu, Mei
    IEEE SENSORS JOURNAL, 2022, 22 (12) : 12139 - 12151