Fault diagnosis of highHspeed train axle bearing based on a lightweight neural network ShuffleHSENet

被引:0
|
作者
Deng, Fei-Yue [1 ,2 ]
Lyu, Hao-Yang [2 ]
Gu, Xiao-Hui [1 ]
Hao, Ru-Jiang [2 ]
机构
[1] State Key Laboratory of Mechanical Behavior in Traffic Engineering Structure and System Safety, Shijiazhuang Tiedao University, Shijiazhuang,050043, China
[2] School of Mechanical Engineering, Shijiazhuang Tiedao University, Shijiazhuang,050043, China
关键词
Failure analysis;
D O I
10.13229/j.cnki.jdxbgxb20210644
中图分类号
学科分类号
摘要
引用
收藏
页码:474 / 482
相关论文
共 50 条
  • [1] Fault diagnosis of high-speed train wheelset bearing based on a lightweight neural network
    Deng, Fei-Yue
    Ding, Hao
    Lü, Hao-Yang
    Hao, Ru-Jiang
    Liu, Yong-Qiang
    [J]. Gongcheng Kexue Xuebao/Chinese Journal of Engineering, 2021, 43 (11): : 1482 - 1490
  • [2] A Lightweight Neural Network Based on GAF and ECA for Bearing Fault Diagnosis
    Gu, Xiaojiao
    Xie, Yuntao
    Tian, Yang
    Liu, Tianshun
    [J]. METALS, 2023, 13 (04)
  • [3] Intelligent Bearing Fault Diagnosis With a Lightweight Neural Network
    Nguyen Duc Thuan
    Nguyen Thi Hue
    Pham Quang Vuong
    Hoang Si Hong
    [J]. 2022 11TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND INFORMATION SCIENCES (ICCAIS), 2022, : 261 - 266
  • [4] Fault Diagnosis of Train Axle Box Bearing Based on Multifeature Parameters
    Li, Xiaofeng
    Jia, Limin
    Yang, Xin
    [J]. DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2015, 2015
  • [5] Research on fault diagnosis of rolling bearing based on lightweight convolutional neural network
    Zhang, Xiaochen
    Li, Hanwen
    Meng, Weiying
    Liu, Yaofeng
    Zhou, Peng
    He, Cai
    Zhao, Qingbo
    [J]. JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2022, 44 (10)
  • [6] Research on fault diagnosis of rolling bearing based on lightweight convolutional neural network
    Xiaochen Zhang
    Hanwen Li
    Weiying Meng
    Yaofeng Liu
    Peng Zhou
    Cai He
    Qingbo Zhao
    [J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2022, 44
  • [7] A lightweight neural network with strong robustness for bearing fault diagnosis
    Yao, Dechen
    Liu, Hengchang
    Yang, Jianwei
    Li, Xi
    [J]. MEASUREMENT, 2020, 159
  • [8] A lightweight improved residual neural network for bearing fault diagnosis
    Wang, Huaqing
    Fu, Zhenbao
    Lin, Tianjiao
    Han, Changkun
    Zhang, Wenbo
    Song, Liuyang
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2024,
  • [9] An unsupervised transfer network with adaptive input and dynamic channel pruning for train axle bearing fault diagnosis
    Liu, Lei
    Zhang, Weihua
    Gu, Fengshou
    Song, Dongli
    Tang, Guiting
    Cheng, Yao
    [J]. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2024,
  • [10] Fault diagnosis of axle box bearing of high-speed train based on adaptive VMD
    Huang, Yan
    Lin, Jianhui
    Liu, Zechao
    Huang, Chenguang
    [J]. Zhendong yu Chongji/Journal of Vibration and Shock, 2021, 40 (03): : 240 - 245