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
  • [21] A Generic Framework for Video Annotation via Semi-Supervised Learning
    Zhang, Tianzhu
    Xu, Changsheng
    Zhu, Guangyu
    Liu, Si
    Lu, Hanqing
    IEEE TRANSACTIONS ON MULTIMEDIA, 2012, 14 (04) : 1206 - 1219
  • [22] Improving Semi-Supervised Text Classification with Dual Meta-Learning
    Li, Shujie
    Yuan, Guanghu
    Yang, Min
    Shen, Ying
    Li, Chengming
    Xu, Ruifeng
    Zhao, Xiaoyan
    ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2024, 42 (04)
  • [23] Semi-supervised adaptive anti-noise meta-learning for few-shot industrial gearbox fault diagnosis
    Hu, Junwei
    Xie, Chao
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2024, 35 (11)
  • [24] Semi-Supervised Meta-Learning via Self-Training
    Zhou, Meng
    Li, Yaoyi
    Lu, Hongtao
    Cai Nengbin
    Zhao Xuejun
    2020 THE 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT AUTONOMOUS SYSTEMS (ICOIAS'2020), 2020, : 1 - 7
  • [25] Semi-supervised meta-learning elucidates understudied molecular interactions
    Wu, You
    Xie, Li
    Liu, Yang
    Xie, Lei
    COMMUNICATIONS BIOLOGY, 2024, 7 (01)
  • [26] Few-shot fault diagnosis of turnout switch machine based on flexible semi-supervised meta-learning network
    He, Yiling
    He, Deqiang
    Lao, Zhenpeng
    Jin, Zhenzhen
    Miao, Jian
    Lai, Zhiping
    Chen, Yanjun
    KNOWLEDGE-BASED SYSTEMS, 2024, 294
  • [27] Semi-Supervised Prototype Networks With Similarity Information Selection for Fault Diagnosis of Wind Turbine Gearboxes
    Huang, Qingqing
    Li, Chao
    Han, Yan
    Shang, Jiazhe
    Zhang, Yan
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2025, 74
  • [28] A Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning
    Qiao, Ziyue
    Wang, Pengyang
    Wang, Pengfei
    Ning, Zhiyuan
    Fu, Yanjie
    Du, Yi
    Zhou, Yuanchun
    Huang, Jianqiang
    Hua, Xian-Sheng
    Xiong, Hui
    ACM TRANSACTIONS ON THE WEB, 2024, 18 (02)
  • [29] A novel semi-supervised learning rolling bearing fault diagnosis method based on SNNGAN
    Qiu, Zhi
    Fan, Shanfei
    Liang, Haibo
    Li, Quanchang
    Lv, Shan
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2024, 35 (08)
  • [30] Semi-supervised learning and condition fusion for fault diagnosis
    Yuan, Jin
    Liu, Xuemei
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2013, 38 (02) : 615 - 627