Semi-Supervised Temporal Meta-Learning Framework for Wind Turbine Bearing Fault Diagnosis Under Limited Annotation Data

被引:0
|
作者
Su, Hao [1 ]
Yao, Qingtao [1 ]
Xiang, Ling [1 ]
Hu, Aijun [1 ]
机构
[1] North China Electric Power University, Department of Mechanical Engineering, Baoding,071003, China
关键词
37;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:1 / 9
相关论文
共 50 条
  • [41] Pseudo-label assisted semi-supervised adversarial enhancement learning for fault diagnosis of gearbox degradation with limited data
    Chen, Xin
    Chen, Zaigang
    Guo, Liang
    Zhai, Wanming
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2025, 224
  • [42] A consistency regularization based semi-supervised learning approach for intelligent fault diagnosis of rolling bearing
    Yu, Kun
    Ma, Hui
    Lin, Tian Ran
    Li, Xiang
    MEASUREMENT, 2020, 165
  • [43] Wind turbine fault detection: a semi-supervised learning approach with two different dimensionality reduction techniques
    de Sá F.P.G.
    de Coutinho R.C.
    Ogasawara E.
    Brandão D.
    Toso R.F.
    International Journal of Innovative Computing and Applications, 2023, 14 (1-2) : 67 - 77
  • [44] An Effective Semi-Supervised Learning Framework for Temporal Student Classification
    Vo Thi Ngoc Chau
    Nguyen Hua Phung
    PROCEEDINGS OF 2019 6TH NATIONAL FOUNDATION FOR SCIENCE AND TECHNOLOGY DEVELOPMENT (NAFOSTED) CONFERENCE ON INFORMATION AND COMPUTER SCIENCE (NICS), 2019, : 363 - 369
  • [45] Imbalanced fault diagnosis based on semi-supervised ensemble learning
    Jian, Chuanxia
    Ao, Yinhui
    JOURNAL OF INTELLIGENT MANUFACTURING, 2023, 34 (07) : 3143 - 3158
  • [46] Imbalanced fault diagnosis based on semi-supervised ensemble learning
    Chuanxia Jian
    Yinhui Ao
    Journal of Intelligent Manufacturing, 2023, 34 : 3143 - 3158
  • [47] Fault diagnosis method based on online semi-supervised learning
    Yin, G. (gang.gang88@163.com), 1600, Nanjing University of Aeronautics an Astronautics (25):
  • [48] A Probabilistic Bayesian Parallel Deep Learning Framework for Wind Turbine Bearing Fault Diagnosis
    Meng, Liang
    Su, Yuanhao
    Kong, Xiaojia
    Lan, Xiaosheng
    Li, Yunfeng
    Xu, Tongle
    Ma, Jinying
    SENSORS, 2022, 22 (19)
  • [49] Research on label propagation based on clustering and semi-supervised learning under limited fault data of air conditioning system
    Guo, Yabin
    Du, Congcong
    Liu, Xin
    Zhang, Zheng
    Jin, Zunlong
    Liu, Yaxin
    Wang, Yuhua
    Li, Weilin
    INTERNATIONAL JOURNAL OF REFRIGERATION, 2025, 174 : 111 - 126
  • [50] A Novel Semi-Supervised Fault Diagnosis Method for Unbalanced Data
    Zhao, Dandan
    Chen, Jiajun
    Yin, Hongpeng
    Cai, Li
    Xia, Min
    IEEE INTERNET OF THINGS JOURNAL, 2025, 12 (06): : 7599 - 7609