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
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
  • [1] Research on Multi-Path Lightweight Convolutional Neural Network
    Zhao, Lixin
    Bai, Yu
    An, Shengbiao
    Computer Engineering and Applications, 2023, 59 (06) : 134 - 145
  • [2] Research on a Bearing Fault Diagnosis Algorithm Based on Convolutional Neural Network
    Bu, Yang
    Dai, Yuquan
    Wang, Ziyu
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 127 : 16 - 17
  • [3] Interpretable quadratic convolutional residual neural network for bearing fault diagnosis
    Zhiyong Luo
    Shuping Pan
    Xin Dong
    Xin Zhang
    Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2025, 47 (4)
  • [4] Convolutional Neural Network Based Bearing Fault Diagnosis
    Duy-Tang Hoang
    Kang, Hee-Jun
    INTELLIGENT COMPUTING THEORIES AND APPLICATION, ICIC 2017, PT II, 2017, 10362 : 105 - 111
  • [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
    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
    Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2022, 44
  • [7] Multi-attribute quantitative bearing fault diagnosis based on convolutional neural network
    Zhang, Shixin
    Lv, Qin
    Zhang, Shenlin
    Shan, Jianhua
    COGNITIVE COMPUTATION AND SYSTEMS, 2021, 3 (04) : 287 - 296
  • [8] A spiking neural network-based approach to bearing fault diagnosis
    Zuo, Lin
    Zhang, Lei
    Zhang, Zhe-Han
    Luo, Xiao-Ling
    Liu, Yu
    JOURNAL OF MANUFACTURING SYSTEMS, 2021, 61 : 714 - 724
  • [9] A multi-layer spiking neural network-based approach to bearing fault diagnosis
    Zuo, Lin
    Xu, Fengjie
    Zhang, Changhua
    Xiahou, Tangfan
    Liu, Yu
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2022, 225
  • [10] Fault Diagnosis of Bearing Based on Convolutional Neural Network Using Multi- Domain Features
    Shao, Xiaorui
    Wang, Lijiang
    Kim, Chang Soo
    Ra, Ilkyeun
    KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2021, 15 (05): : 1610 - 1629