An evaluation method of conditional deep convolutional generative adversarial networks for mechanical fault diagnosis

被引:0
|
作者
Luo, Jia [1 ]
Huang, Jinying [1 ]
Ma, Jiancheng [1 ]
Li, Hongmei [1 ]
机构
[1] College of Mechanical Engineering, North University of China, China
来源
JVC/Journal of Vibration and Control | 2022年 / 28卷 / 11-12期
关键词
Failure analysis - Fault detection - Laboratories - Statistical tests - Classification (of information) - Convolution;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:1379 / 1389
相关论文
共 50 条
  • [1] An evaluation method of conditional deep convolutional generative adversarial networks for mechanical fault diagnosis
    Luo, Jia
    Huang, Jinying
    Ma, Jiancheng
    Li, Hongmei
    [J]. JOURNAL OF VIBRATION AND CONTROL, 2022, 28 (11-12) : 1379 - 1389
  • [2] A case study of conditional deep convolutional generative adversarial networks in machine fault diagnosis
    Luo, Jia
    Huang, Jinying
    Li, Hongmei
    [J]. JOURNAL OF INTELLIGENT MANUFACTURING, 2021, 32 (02) : 407 - 425
  • [3] A case study of conditional deep convolutional generative adversarial networks in machine fault diagnosis
    Jia Luo
    Jinying Huang
    Hongmei Li
    [J]. Journal of Intelligent Manufacturing, 2021, 32 : 407 - 425
  • [4] Application of self-attention conditional deep convolutional generative adversarial networks in the fault diagnosis of planetary gearboxes
    Luo, Jia
    Huang, Jingying
    Ma, Jiancheng
    Liu, Siyuan
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY, 2024, 238 (02) : 260 - 273
  • [5] Research on Deep Convolutional Generative Adversarial Networks Diagnosis Method of Bearing Fault Under Small Sample Condition
    Liu, Yaqian
    Cai, Haoyuan
    Li, Wenkuan
    Zhao, Shenglin
    Liu, Chunxiu
    [J]. Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2023, 43 (04): : 817 - 823
  • [6] Data augment method for machine fault diagnosis using conditional generative adversarial networks
    Wang, Jinrui
    Han, Baokun
    Bao, Huaiqian
    Wang, Mingyan
    Chu, Zhenyun
    Shen, Yuwei
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2020, 234 (12) : 2719 - 2727
  • [7] Composite Fault Diagnosis Based on Deep Convolutional Generative Adversarial Network
    Zhang Yonghong
    Zhang Zhongyang
    Shao Fan
    Wang Yifei
    Zhao Xiaoping
    Lv Kaiyang
    [J]. 2020 ASIA-PACIFIC INTERNATIONAL SYMPOSIUM ON ADVANCED RELIABILITY AND MAINTENANCE MODELING (APARM), 2020,
  • [8] A novel imbalanced fault diagnosis method based on area identification conditional generative adversarial networks
    Xu, Yuan
    Zou, Xun
    Ke, Wei
    Zhu, Qun-Xiong
    He, Yan-Lin
    Zhang, Ming-Qing
    Zhang, Yang
    [J]. CANADIAN JOURNAL OF CHEMICAL ENGINEERING, 2023, 101 (12): : 6944 - 6958
  • [9] Retinal Vessel Segmentation Based on Conditional Deep Convolutional Generative Adversarial Networks
    Jiang, Yun
    Tan, Ning
    [J]. Zidonghua Xuebao/Acta Automatica Sinica, 2021, 47 (01): : 136 - 147
  • [10] An Efficient Method Based on Conditional Generative Adversarial Networks for Imbalanced Fault Diagnosis of Rolling Bearing
    Zheng, Taisheng
    Song, Lei
    Guo, Bingjun
    Liang, Haoran
    Guo, Lili
    [J]. 2019 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-QINGDAO), 2019,