Intelligent Fault Diagnosis for Machinery Based on Enhanced Transfer Convolutional Neural Network

被引：0
|
作者：
Chen, Zhuyun [1 ]
Zhong, Qi [1 ]
Huang, Ruyi [1 ]
Liao, Yixiao [1 ]
Li, Jipu [1 ]
Li, Weihua [1 ]
机构：
[1] School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou,510640, China
来源：
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2021年 / 57卷 / 21期
关键词：
Classification performance - Convolutional neural network - Decision boundary - Enhanced transfer convolutional neural network - Faults diagnosis - Intelligent fault diagnosis - Loss functions - Mechanical equipment - Target domain - Transfer learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
31
引用
下载
收藏
页码：96 / 105
相关论文
共 50 条
  • [21] Fault Diagnosis for Rotating Machinery Based on Convolutional Neural Network and Empirical Mode Decomposition
    Xie, Yuan
    Zhang, Tao
    SHOCK AND VIBRATION, 2017, 2017
  • [22] Rotating machinery fault diagnosis based on convolutional neural network and infrared thermal imaging
    Li, Yongbo
    Du, Xiaoqiang
    Wan, Fangyi
    Wang, Xianzhi
    Yu, Huangchao
    CHINESE JOURNAL OF AERONAUTICS, 2020, 33 (02) : 427 - 438
  • [23] Rotating machinery fault diagnosis based on convolutional neural network and infrared thermal imaging
    Yongbo LI
    Xiaoqiang DU
    Fangyi WAN
    Xianzhi WANG
    Huangchao YU
    Chinese Journal of Aeronautics, 2020, 33 (02) : 427 - 438
  • [24] Using Convolutional Neural Network for Vibration Fault Diagnosis Monitoring in Machinery
    Yeh, Chiao Wei
    Chen, Rongshun
    PROCEEDINGS OF THE 2018 IEEE INTERNATIONAL CONFERENCE ON ADVANCED MANUFACTURING (IEEE ICAM), 2018, : 246 - 249
  • [25] Application of adaptive convolutional neural network in rotating machinery fault diagnosis
    Li T.
    Duan L.
    Zhang D.
    Zhao S.
    Huang H.
    Bi C.
    Yuan Z.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2020, 39 (16): : 275 - 282and288
  • [26] 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
  • [27] Convolutional Neural Network Based Fault Detection for Rotating Machinery
    Janssens, Olivier
    Slavkovikj, Viktor
    Vervisch, Bram
    Stockman, Kurt
    Loccufier, Mia
    Verstockt, Steven
    Van de Walle, Rik
    Van Hoecke, Sofie
    JOURNAL OF SOUND AND VIBRATION, 2016, 377 : 331 - 345
  • [28] An Intelligent Gear Fault Diagnosis Methodology Using a Complex Wavelet Enhanced Convolutional Neural Network
    Sun, Weifang
    Yao, Bin
    Zeng, Nianyin
    Chen, Binqiang
    He, Yuchao
    Cao, Xincheng
    He, Wangpeng
    MATERIALS, 2017, 10 (07):
  • [29] Intelligent Cross-domain Fault Diagnosis For Rotating Machinery Using Multiscale Adversarial Convolutional Neural Network
    Yue, Ke
    Li, Jipu
    Chen, Junbin
    Li, Weihua
    2022 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC 2022), 2022,
  • [30] Intelligent fault diagnosis of rotating machinery via wavelet transform, generative adversarial nets and convolutional neural network
    Liang, Pengfei
    Deng, Chao
    Wu, Jun
    Yang, Zhixin
    MEASUREMENT, 2020, 159
12345