Rotating machinery fault diagnosis based on maximum correlation kurtosis deconvolution and reassigned wavelet scalogram

被引：0
|
作者：
Zhong, Xian-You [1 ]
Zhao, Chun-Hua [1 ]
Chen, Bao-Jia [1 ]
Tian, Hong-Liang [1 ]
机构：
[1] Hubei Key Laboratory of Hydroelectric Machinery Design & Maintenance, China Three Gorges University, Yichang,443002, China
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2015年 / 34卷 / 07期
关键词：
D O I：
10.13465/j.cnki.jvs.2015.07.025
中图分类号：
学科分类号：
摘要：
16
引用
收藏
页码：156 / 161
相关论文
共 50 条
  • [1] Compound fault diagnosis of rotating machinery based on adaptive maximum correlated kurtosis deconvolution and customized multiwavelet transform
    Hong, Lianhuan
    Liu, Xiaobo
    Zuo, Hongyan
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2018, 29 (11)
  • [2] Analysis of Residual Wavelet Scalogram for Machinery Fault Diagnosis
    Hee, Lim Meng
    Leong, M. S.
    Hui, K. H.
    [J]. MATERIALS, INDUSTRIAL, AND MANUFACTURING ENGINEERING RESEARCH ADVANCES 1.1, 2014, 845 : 113 - 117
  • [3] Bearing fault diagnosis based on maximum correlated kurtosis deconvolution
    Wu, Bing
    Jia, Feng
    Xiong, Xiaoyan
    [J]. Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2014, 34 (03): : 570 - 575
  • [4] Maximum average kurtosis deconvolution and its application for the impulsive fault feature enhancement of rotating machinery
    Liang, Kaixuan
    Zhao, Ming
    Lin, Jing
    Jiao, Jinyang
    Ding, Chuancang
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 149
  • [5] Fault feature extracting for rotating machinery vibration based on blind deconvolution and spectral kurtosis
    Huang, Weiguo
    Liu, Haiyang
    Zhu, Zhongkui
    He, Zhiyong
    [J]. Journal of Theoretical and Applied Information Technology, 2012, 43 (02) : 261 - 266
  • [6] Rolling bearing early fault diagnosis based on angular domain cascade maximum correlation kurtosis deconvolution
    Ren, Xueping
    Zhang, Yuhao
    Xing, Yitong
    Wang, Chaoge
    [J]. Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2015, 36 (09): : 2104 - 2111
  • [7] Segregation of Close Frequency Components Based on Reassigned Wavelet Analysis for Machinery Fault Diagnosis
    Abdelrhman, Ahmed M.
    Leong, M. Salman
    Hee, Lim Meng
    Al-Obaidi, Salah M. Ali
    [J]. ENGINEERING ASSET MANAGEMENT - SYSTEMS, PROFESSIONAL PRACTICES AND CERTIFICATION, 2015, : 581 - 590
  • [8] Mine gearbox fault diagnosis based on multiwavelets and maximum correlated kurtosis deconvolution
    Hua, Wei
    Luo, Chenxu
    Leng, Junfa
    Wang, Zhiyang
    [J]. JOURNAL OF VIBROENGINEERING, 2017, 19 (06) : 4185 - 4197
  • [9] Research on unknown fault diagnosis of rolling bearings based on parameter-adaptive maximum correlation kurtosis deconvolution
    He, Yong
    Wang, Hong
    Xue, Hai
    Zhang, Tao
    [J]. REVIEW OF SCIENTIFIC INSTRUMENTS, 2021, 92 (05):
  • [10] Time-Reassigned Multisynchrosqueezing Transform for Bearing Fault Diagnosis of Rotating Machinery
    Yu, Gang
    Lin, Tianran
    Wang, Zhonghua
    Li, Yueyang
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 68 (02) : 1486 - 1496
12345