Highly Imbalanced Fault Diagnosis of Rolling Bearings Based on Variational Mode Gaussian Distortion and Deep Residual Shrinkage Networks

被引：0
|
作者：
Zhang, Zhijin [1 ]
Zhang, Chunlei [1 ]
Li, He [1 ]
机构：
[1] Northeastern University, School of Mechanical Engineering and Automation, Shenyang,110819, China
来源：
IEEE Transactions on Instrumentation and Measurement | 2023年 / 72卷
关键词：
Data augmentation - Deep residual shrinkage network - Faults diagnosis - Features extraction - Imbalanced fault diagnose - Rolling bearings - Vibration;
D O I：
10.1109/TIM.2023.3308256
中图分类号：
学科分类号：
摘要：
30
引用
收藏
相关论文
共 50 条
  • [1] A fault diagnosis method of rolling bearing based on improved deep residual shrinkage networks
    Tong, Jinyu
    Tang, Shiyu
    Wu, Yi
    Pan, Haiyang
    Zheng, Jinde
    [J]. MEASUREMENT, 2023, 206
  • [2] Fault Diagnosis for Rolling Bearings Based on Multiscale Feature Fusion Deep Residual Networks
    Wu, Xiangyang
    Shi, Haibin
    Zhu, Haiping
    [J]. ELECTRONICS, 2023, 12 (03)
  • [3] Rolling Bearing Fault Diagnosis Using Improved Deep Residual Shrinkage Networks
    Zhang, Zhijin
    Li, He
    Chen, Lei
    Han, Ping
    [J]. SHOCK AND VIBRATION, 2021, 2021
  • [4] Deep Residual Shrinkage Networks for Fault Diagnosis
    Zhao, Minghang
    Zhong, Shisheng
    Fu, Xuyun
    Tang, Baoping
    Pecht, Michael
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 16 (07) : 4681 - 4690
  • [5] Fault Diagnosis Using Imbalanced Data of Rolling Bearings Based on a Deep Migration Model
    Wang, Haitao
    Zhang, Xiheng
    [J]. IEEE ACCESS, 2024, 12 : 5517 - 5533
  • [6] Intelligent fault diagnosis of multi-sensor rolling bearings based on variational mode extraction and a lightweight deep neural network
    Wang, Shouqi
    Feng, Zhigang
    [J]. INTERNATIONAL JOURNAL OF SIGNAL AND IMAGING SYSTEMS ENGINEERING, 2024, 13 (01)
  • [7] Fault diagnosis of rolling bearing of wind turbines based on the Variational Mode Decomposition and Deep Convolutional Neural Networks
    Xu, Zifei
    Li, Chun
    Yang, Yang
    [J]. APPLIED SOFT COMPUTING, 2020, 95
  • [8] Mode determination in variational mode decomposition and its application in fault diagnosis of rolling element bearings
    P. S. Ambika
    P. K. Rajendrakumar
    Rijil Ramchand
    [J]. SN Applied Sciences, 2019, 1
  • [9] Mode determination in variational mode decomposition and its application in fault diagnosis of rolling element bearings
    Ambika, P. S.
    Rajendrakumar, P. K.
    Ramchand, Rijil
    [J]. SN APPLIED SCIENCES, 2019, 1 (09):
  • [10] New Fault Diagnosis Method for Rolling Bearings Based on Improved Residual Shrinkage Network Combined with Transfer Learning
    Sun, Tieyang
    Gao, Jianxiong
    [J]. SENSORS, 2024, 24 (17)
12345