Bearing fault diagnosis method based on VAE-GAN and FLCNN unbalanced samples

被引：0
|
作者：
Zhang, Yonghong [1 ]
Zhang, Zhongyang [1 ]
Zhao, Xiaoping [2 ,3 ]
Wang, Lihua [1 ]
Shao, Fan [1 ]
Lü, Kaiyang [2 ]
机构：
[1] School of Automation, Nanjing University of Information Science and Technology, Nanjing,210044, China
[2] School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing,210044, China
[3] Network Monitoring Center of Jiangsu Province, Nanjing University of Information Science and Technology, Nanjing,210044, China
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2022年 / 41卷 / 09期
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Generative adversarial networks
引用
收藏
页码：199 / 209
相关论文
共 50 条
  • [31] A Bearing Fault Diagnosis Method in Scenarios of Imbalanced Samples and Insufficient Labeled Samples
    Cheng, Xiaohan
    Lu, Yuxin
    Liang, Zhihao
    Zhao, Lei
    Gong, Yuandong
    Wang, Meng
    APPLIED SCIENCES-BASEL, 2024, 14 (19):
  • [32] Deep Generative Modeling Based on VAE-GAN for 3D Indoor Scene Synthesis
    Li, Shuai
    Li, Hongjun
    INTERNATIONAL JOURNAL OF COMPUTER GAMES TECHNOLOGY, 2023, 2023
  • [33] Bearing fault diagnosis method based on HCDDP
    Su S.
    Zhang Z.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2023, 42 (23): : 103 - 111
  • [34] MTC-GAN Bearing Fault Diagnosis for Small Samples and Variable Operating Conditions
    Li, Jinghua
    Wei, Yonghe
    Gu, Xiaojiao
    APPLIED SCIENCES-BASEL, 2024, 14 (19):
  • [35] Conditional GAN and 2-D CNN for Bearing Fault Diagnosis With Small Samples
    Yang, Jinsong
    Liu, Jie
    Xie, Jingsong
    Wang, Changda
    Ding, Tianqi
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 70
  • [36] Generating Mesh-based Shapes From Learned Latent Spaces of Point Clouds with VAE-GAN
    Kingkan, Cherdsak
    Hashimoto, Koichi
    2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2018, : 308 - 313
  • [37] Unbalanced Data-Based Fault Diagnosis Method of Bearing Utilizing Time-Frequency DCGAN Processing
    Fei, Sheng-Wei
    Liu, Ying-Zhe
    MECHANIKA, 2024, 30 (04): : 371 - 376
  • [38] A modified active learning intelligent fault diagnosis method for rolling bearings with unbalanced samples
    Lu, Jiantao
    Wu, Wei
    Huang, Xin
    Yin, Qitao
    Yang, Kuangzhi
    Li, Shunming
    ADVANCED ENGINEERING INFORMATICS, 2024, 60
  • [39] Transformer Fault Diagnosis Method Based on Variation Sparrow Search Algorithm and Improved SMOTE Under Unbalanced Samples
    Zhu L.
    Wang X.
    Li H.
    Jiang C.
    Cao M.
    Gaodianya Jishu/High Voltage Engineering, 2023, 49 (12): : 4993 - 5001
  • [40] Bearing Fault Diagnosis based on Lasso Regularization Method
    Duque-Perez, O.
    Del Pozo-Gallego, C.
    Morinigo-Sotelo, D.
    Godoy, W. Fontes
    2017 IEEE 11TH INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRICAL MACHINES, POWER ELECTRONICS AND DRIVES (SDEMPED), 2017, : 331 - 337
12345