Research on multi-path quadratic convolutional neural network-based bearing fault diagnosis

被引：0
|
作者：
Ji, Yingying [2 ]
Gao, Jun [1 ]
Shao, Xing [1 ]
Wang, Cuixiang [1 ]
机构：
[1] The School of Information Engineering, Yancheng Institute of Technology, Yancheng,224051, China
[2] The School of Mechanical Engineering, Yancheng Institute of Technology, Yancheng,224051, China
来源：
Insight: Non-Destructive Testing and Condition Monitoring | 2024年 / 66卷 / 12期
关键词：
This work was supported by the National Natural Science Foundation of China (grant number 62076215); the New Generation Information Technology Innovation Project of the Ministry of Education of China (grant number 2020ITA02057) and the Postgraduate Research and Practice Innovation Programme of Yancheng Institute of Technology of China (grant number SJCX23_XY062);
D O I：
10.1784/insi.2024.66.12.758
中图分类号：
学科分类号：
摘要：
引用
下载
收藏
页码：758 / 766
相关论文
共 50 条
  • [41] Bearing Fault Diagnosis Based on Adaptive Convolutional Neural Network With Nesterov Momentum
    Gao, Shuzhi
    Pei, Zhiming
    Zhang, Yimin
    Li, Tianchi
    IEEE SENSORS JOURNAL, 2021, 21 (07) : 9268 - 9276
  • [42] Bearing Fault Diagnosis with Multi-Channel Sample and Deep Convolutional Neural Network
    Zhang H.
    Yuan Q.
    Zhao B.
    Niu G.
    Yuan, Qi, 1600, Xi'an Jiaotong University (54): : 58 - 66
  • [43] Multi-size wide kernel convolutional neural network for bearing fault diagnosis
    Kumar, Prashant
    Raouf, Izaz
    Song, Jinwoo
    Prince
    Kim, Heung Soo
    Advances in Engineering Software, 2024, 198
  • [44] Application of Convolutional Neural Network in Motor Bearing Fault Diagnosis
    Zhou, Shuiqin
    Lin, Lepeng
    Chen, Chu
    Pan, Wenbin
    Lou, Xiaochun
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [45] A review on convolutional neural network in rolling bearing fault diagnosis
    Li, Xin
    Ma, Zengqiang
    Yuan, Zonghao
    Mu, Tianming
    Du, Guoxin
    Liang, Yan
    Liu, Jingwen
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2024, 35 (07)
  • [46] A Multi-Input and Multi-Task Convolutional Neural Network for Fault Diagnosis Based on Bearing Vibration Signal
    Wang, Yang
    Yang, Miaomiao
    Li, Yong
    Xu, Zeda
    Wang, Jie
    Fang, Xia
    IEEE SENSORS JOURNAL, 2021, 21 (09) : 10946 - 10956
  • [47] Research on bearing fault diagnosis method based on transformer neural network
    Yang, Zhuohong
    Cen, Jian
    Liu, Xi
    Xiong, Jianbin
    Chen, Honghua
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2022, 33 (08)
  • [48] A Lightweight Bearing Fault Diagnosis Method Based on Multi-Channel Depthwise Separable Convolutional Neural Network
    Ling, Liuyi
    Wu, Qi
    Huang, Kaiwen
    Wang, Yiwen
    Wang, Chengjun
    ELECTRONICS, 2022, 11 (24)
  • [49] A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
    Wen, Long
    Li, Xinyu
    Gao, Liang
    Zhang, Yuyan
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 65 (07) : 5990 - 5998
  • [50] An Anti-Noise Convolutional Neural Network for Bearing Fault Diagnosis Based on Multi-Channel Data
    Zhang, Wei-Tao
    Liu, Lu
    Cui, Dan
    Ma, Yu-Ying
    Huang, Ju
    SENSORS, 2023, 23 (15)
12345