Fault diagnosis of rotating machinery based on residual neural network with multi-scale feature fusion

被引:0
|
作者
基于多尺度特征融合残差神经网络的旋转机械故障诊断
机构
[1] [1,2,Deng, Feiyue
[2] Ding, Hao
[3] 1,Hao, Rujiang
来源
Hao, Rujiang; Hao, Rujiang | 1600年 / Chinese Vibration Engineering Society卷 / 40期
关键词
Roller bearings - Fault detection - Computer aided diagnosis - Convolution - Failure analysis - Feature extraction;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:22 / 28
相关论文
共 50 条
  • [11] An intelligent fault diagnosis method for rotating machinery based on data fusion and deep residual neural network
    Peng, Binsen
    Xia, Hong
    Lv, Xinzhi
    Annor-Nyarko, M.
    Zhu, Shaomin
    Liu, Yongkuo
    Zhang, Jiyu
    APPLIED INTELLIGENCE, 2022, 52 (03) : 3051 - 3065
  • [12] COMPOSITE FAULT DIAGNOSIS IN ROTATING MACHINERY BASED ON MULTI-FEATURE FUSION
    Su, Nai-quan
    Zhang, Qing-hua
    Chen, Yi-dian
    Chang, Xiao-xiao
    Liu, Yang
    TRANSACTIONS OF FAMENA, 2024, 48 (01) : 87 - 96
  • [13] ROTATING MACHINERY FAULT DIAGNOSIS METHOD BASED ON IMPROVED RESIDUAL NEURAL NETWORK
    Xu S.
    Deng A.
    Yang H.
    Fan Y.
    Deng M.
    Liu D.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2023, 44 (07): : 409 - 418
  • [14] Fault Diagnosis of Rotating Machinery Bearings Based on Multi-Scale Attention Feature Fusion under Few Shot and Complex Working Conditions
    Rong, Ye
    Guo, Dongmei
    Kong, Qingyi
    Wang, Guanglong
    Ren, Zhixin
    Tian, Zihao
    JOURNAL OF ELECTRICAL SYSTEMS, 2024, 20 (03) : 13 - 27
  • [15] Multi-scale Feature Learning Network for Bearing fault Diagnosis with Information Fusion
    Luo, Shuyang
    Zhou, Qi
    2024 10TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTIC, ICCAR 2024, 2024, : 191 - 196
  • [16] Intelligent fault diagnosis and visual interpretability of rotating machinery based on residual neural network
    Yu, Shihang
    Wang, Min
    Pang, Shanchen
    Song, Limei
    Qiao, Sibo
    MEASUREMENT, 2022, 196
  • [17] Fault diagnosis of rolling bearing based on feature fusion of multi-scale deep convolutional network
    Wang N.
    Ma P.
    Zhang H.
    Wang C.
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2022, 43 (04): : 351 - 358
  • [18] Rotating machinery fault diagnosis based on impact feature extraction deep neural network
    Hu, Aijun
    Sun, Junhao
    Xiang, Ling
    Xu, Yonggang
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2022, 33 (11)
  • [19] MPARN: multi-scale path attention residual network for fault diagnosis of rotating machines
    Kim, Hyeongmin
    Park, Chan Hee
    Suh, Chaehyun
    Chae, Minseok
    Yoon, Heonjun
    Youn, Byeng D.
    JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING, 2023, 10 (02) : 860 - 872
  • [20] Research of Rotating Machinery Fault Diagnosis Based on Fuzzy Neural Network And Information Fusion
    Mao Chun-yu
    Zhou Guang-Wen
    Xu Yu-kun
    2014 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C 2014), 2014, : 403 - 406