A Motor Bearing Cage Fault Diagnosis Method Based on Local Maximum of Kurtosis Surface

被引:0
|
作者
Liu, Yilong [1 ]
Li, Xinyuan [1 ]
Chen, Yinping [2 ]
Cheng, Wei [1 ]
Chen, Xuefeng [1 ]
机构
[1] National and Local Joint Engineering Research Center of Equipment Operation Safety and Intelligent Monitoring, Xi'an Jiaotong University, Xi'an,710049, China
[2] China Nuclear Power Engineering Co., Ltd., Beijing,100840, China
关键词
D O I
10.3901/JME.2024.15.089
中图分类号
学科分类号
摘要
引用
收藏
页码:89 / 99
相关论文
共 50 条
  • [21] Bearing fault diagnosis using EEMD and improved morphological filtering method based on kurtosis criterion
    Wu, Xiao-Tao
    Yang, Meng
    Yuan, Xiao-Hui
    Gong, Ting-Kai
    Zhendong yu Chongji/Journal of Vibration and Shock, 2015, 34 (02): : 38 - 44
  • [22] Fault Diagnosis Method of Motor Bearing Based on Improved GAN Algorithm
    Xu L.
    Zheng X.-T.
    Fu B.
    Tian G.
    Dongbei Daxue Xuebao/Journal of Northeastern University, 2019, 40 (12): : 1679 - 1684
  • [23] Bearing fault diagnosis and degradation analysis based on improved empirical mode decomposition and maximum correlated kurtosis deconvolution
    Zhang, Xinghui
    Kang, Jianshe
    Hao, Lishan
    Cai, Liying
    Zhao, Jianmin
    JOURNAL OF VIBROENGINEERING, 2015, 17 (01) : 243 - 260
  • [24] Rolling bearing early fault diagnosis based on maximum correlated kurtosis deconvolution optimized with grid search algorithm
    Lü, Zhongliang
    Tang, Baoping
    Zhou, Yi
    Meng, Jie
    Zhendong yu Chongji/Journal of Vibration and Shock, 2016, 35 (15): : 29 - 34
  • [25] The Diagnosis Method for Induction Motor Bearing Fault Based on Volterra Series
    Xu, Changqing
    Qiu, Chidong
    Xia, Meng
    Cheng, Guozhu
    Xue, Zhengyu
    FIFTH INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL AND INFORMATION PROCESSING (ICICIP), 2014, : 319 - 325
  • [26] Fault Diagnosis Method of Motor Bearing Based on GAF-CapsNet
    Zhang H.
    Ge B.
    Han B.
    Zhao L.
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2023, 38 (10): : 2675 - 2685
  • [27] Deep network-based maximum correlated kurtosis deconvolution: A novel deep deconvolution for bearing fault diagnosis
    Miao, Yonghao
    Li, Chenhui
    Shi, Huifang
    Han, Te
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2023, 189
  • [28] Based on the optimal frequency band of maximum correlation kurtosis de-convolution for bearing weak fault diagnosis
    Yang, Rui
    Li, Hong-Kun
    Tang, Dao-Long
    Hou, Meng-Fan
    2017 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-HARBIN), 2017, : 422 - 426
  • [29] Fault Diagnosis Method of Wind Turbine Bearing based on Variational Mode Decomposition and Spectrum Kurtosis
    Zhang, Ying
    Zhang, Yichi
    Zhang, Chao
    Yu, Hua
    Bai, Lu
    Hao, Jie
    Han, Yu
    Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering (MMME 2016), 2016, 79 : 851 - 854
  • [30] Bearing fault diagnosis based on IMF Kurtosis and Hilbert envelope spectrum
    Wang, Lijun
    Ji, Shengfei
    Ji, Nanyang
    IPPTA: Quarterly Journal of Indian Pulp and Paper Technical Association, 2018, 30 (02) : 128 - 132