Residual wide-kernel deep convolutional auto-encoder for intelligent rotating machinery fault diagnosis with limited samples

被引:0
作者
Yang, Daoguang [1 ]
Karimi, Hamid Reza [1 ]
Sun, Kangkang [1 ]
机构
[1] Department of Mechnical Engineering, Politecnico di Milano, Milan, Italy
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:133 / 144
相关论文
共 50 条
  • [31] A Fault Diagnosis Model Based on Kernel Auto-encoder and Improved Chaos Firefly Optimization Algorithm
    Wang Fengtao
    Liu Xiaofei
    Ma Linjie
    Deng Gang
    Han Qingkai
    Li Hongkun
    2019 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC), 2019, : 526 - 531
  • [32] A novel unsupervised learning method for intelligent fault diagnosis of rolling element bearings based on deep functional auto-encoder
    Aljemely, Anas H.
    Xuan, Jianping
    Jawad, Farqad K. J.
    Al-Azzawi, Osama
    Alhumaima, Ali S.
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2020, 34 (11) : 4367 - 4381
  • [33] A novel unsupervised learning method for intelligent fault diagnosis of rolling element bearings based on deep functional auto-encoder
    Anas H. Aljemely
    Jianping Xuan
    Farqad K. J. Jawad
    Osama Al-Azzawi
    Ali S. Alhumaima
    Journal of Mechanical Science and Technology, 2020, 34 : 4367 - 4381
  • [34] Rolling Bearing Fault Diagnosis Method Based on Enhanced Deep Auto-encoder Network
    Tong J.
    Luo J.
    Zheng J.
    Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2021, 32 (21): : 2617 - 2624
  • [35] An intelligent fault diagnosis method for rotating machinery based on data fusion and deep residual neural network
    Binsen Peng
    Hong Xia
    Xinzhi Lv
    M. Annor-Nyarko
    Shaomin Zhu
    Yongkuo Liu
    Jiyu Zhang
    Applied Intelligence, 2022, 52 : 3051 - 3065
  • [36] Intelligent Fault Diagnosis of Rotating Machines Based on Wavelet Time-Frequency Diagram and Optimized Stacked Denoising Auto-Encoder
    Jia, Ning
    Cheng, Yao
    Liu, Yunyang
    Tian, Youyuan
    IEEE SENSORS JOURNAL, 2022, 22 (17) : 17139 - 17150
  • [37] A new deep auto-encoder method with fusing discriminant information for bearing fault diagnosis
    Mao, Wentao
    Feng, Wushi
    Liu, Yamin
    Zhang, Di
    Liang, Xihui
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 150
  • [38] Improved Deep Transfer Auto-Encoder for Fault Diagnosis of Gearbox Under Variable Working Conditions With Small Training Samples
    He, Zhiyi
    Shao, Haidong
    Zhang, Xiaoyang
    Cheng, Junsheng
    Yang, Yu
    IEEE ACCESS, 2019, 7 : 115368 - 115377
  • [39] Induction motor fault diagnosis based on deep neural network of sparse auto-encoder
    Sun W.
    Shao S.
    Yan R.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2016, 52 (09): : 65 - 71
  • [40] INTELLIGENT FAULT DIAGNOSIS OF ROTATING MACHINERY BASED ON DEEP NEURAL NETWORK
    Zhang, Xiuchun
    Xia, Hong
    Liu, Yongkang
    Zhu, Shaomin
    Jiang, Yingying
    Zhang, Jiyu
    Liu, Jie
    Yin, Wenzhe
    PROCEEDINGS OF 2024 31ST INTERNATIONAL CONFERENCE ON NUCLEAR ENGINEERING, VOL 1, ICONE31 2024, 2024,