• DocumentCode
    3278523
  • Title

    Failure libration model of bearing and its fault diagnosis based on EMD

  • Author

    Kang Li ; Xuejun Chen ; Xiangjiang Hu ; Hong Shi ; Xiaoke Gao

  • Author_Institution
    China Satellite Maritime Tracking & Control Dept., Joint Lab. of Ocean-based Flight Vehicle Meas. & Control, Jiangyin, China
  • fYear
    2013
  • fDate
    23-25 May 2013
  • Firstpage
    994
  • Lastpage
    997
  • Abstract
    Aiming at the problem that the bearings of antenna drive organ on vessel easily occur failure, failure libration model of bearing and its fault diagnosis based on EMD are researched. Failure libration models of the inner circle, outer circle and roll body of the bearing are discussed respectively. Based on the models, fault diagnosis method of bearing based on EMD is presented. First, original libration signal is decomposed using EMD. Decibel value of Hilbert envelope spectrum for each IMF is calculated. Then, Decibel value of Hilbert envelope spectrum at characteristic frequency of bearing is extracted for each IMF, and the maximal decibel value is consequently obtained. Lastly, the state of the bearing is identified by shock pulse method. Experimental results show that the method can diagnose the location and degree of bearing fault.
  • Keywords
    Hilbert transforms; condition monitoring; failure analysis; fault location; machine bearings; mechanical engineering computing; signal processing; Decibel value; EMD; Hilbert envelope spectrum; antenna drive organ; bearing inner circle; bearing outer circle; bearing roll body; empirical model decomposition; failure libration model; fault diagnosis; fault location; original libration signal decomposition; shock pulse method; Lead; Antennas on Vessel; Bearing; Empirical Model Decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4673-4997-0
  • Type

    conf

  • DOI
    10.1109/ICSESS.2013.6615473
  • Filename
    6615473