• DocumentCode
    1597815
  • Title

    Research on Method of Fault Diagnosis about Vehicle Wiper DC Motor

  • Author

    Yang Kaihua ; Bing Yan ; Chuanbing Li ; Yingfeng Lei ; Guowang Dou

  • Author_Institution
    Coll. of Mech. Eng., Southwest Jiaotong Univ., Chengdu, China
  • fYear
    2012
  • Firstpage
    1099
  • Lastpage
    1102
  • Abstract
    Based on the urgent needs of some domestic manufacturers of vehicle motor, this paper studies the generating mechanism of types of faults of wiper DC motors. A new method that extracting the speed signal from the cepstrum of vibration signal is proposed. It is compared that the advantages and disadvantages of the two time-frequency analysis -- short-time Fourier analysis and wavelet analysis in the diagnosis of bearing fault and worm wheel and worm fault. On this basis, the diagnostic parameters of faults are extracted, which applies to fault diagnosis successfully.
  • Keywords
    DC motors; Fourier analysis; fault diagnosis; signal processing; vibrations; wavelet transforms; bearing fault diagnosis; cepstrum; fault diagnosis method; short-time Fourier analysis; speed signal; time-frequency analysis; vehicle wiper dc motor; vibration signal; wavelet analysis; worm fault; worm wheel; Cepstrum; DC motors; Grippers; Noise; Time frequency analysis; Vibrations; Wheels; fault diagnosis; noise; vibration; wiper DC motor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-1-4577-2120-5
  • Type

    conf

  • DOI
    10.1109/ISdea.2012.588
  • Filename
    6173397