• DocumentCode
    2919140
  • Title

    Motor Fault Diagnosis Based on the Vibration Signal Testing and Analysis

  • Author

    Zhaoxia, Wu ; Fen, Li ; Shujuan, Yan ; Bin, Wang

  • Author_Institution
    Dept. of Autom., Northeast Univ. at Qinhuangdao, Qinhuangdao, China
  • Volume
    2
  • fYear
    2009
  • fDate
    21-22 Nov. 2009
  • Firstpage
    433
  • Lastpage
    436
  • Abstract
    Motor´s abnormal vibration signal includes its fault information, effective testing and analysis of its vibration signal is the key to realize motor fault diagnosis. Vibration testing and analysis system was put up to realize the acquisition, display, analysis, storage and replay of vibration signal by using NI-WLS9234 Data Acquisition Card in this paper. Call the analysis function of wavelet in MATLAB to realize vibration signal combined time-frequency analysis by MATLAB Script node in Lab VIEW. The experimental results show that this system has the advantages of convenient operation, high reliability, complete function and good expansibility by using the designed system in three-phase induction motor rotor unbalance fault diagnosis.
  • Keywords
    data acquisition; fault diagnosis; induction motors; mechanical testing; signal processing; vibrations; wavelet transforms; NI-WLS9234 data acquisition card; fault information; motor fault diagnosis; three-phase induction motor rotor unbalance fault diagnosis; vibration signal analysis; vibration signal testing; wavelet function; Data acquisition; Displays; Fault diagnosis; Induction motors; Information analysis; MATLAB; Signal analysis; System testing; Time frequency analysis; Wavelet analysis; fault diagnosist; three-phase induction motor; vibration testing; virtual instrument;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-0-7695-3859-4
  • Type

    conf

  • DOI
    10.1109/IITA.2009.298
  • Filename
    5369528