• DocumentCode
    2648188
  • Title

    Research on the demodulation method based on the wavelet analysis

  • Author

    Cui, Ling-li ; Gao, Li-xin ; Wang, Guo-dong

  • Author_Institution
    Beijing Univ. of Technol., Beijing
  • Volume
    4
  • fYear
    2007
  • fDate
    2-4 Nov. 2007
  • Firstpage
    1683
  • Lastpage
    1687
  • Abstract
    Based on wavelet analysis method and Hilbert envelop demodulation, a method for the fault diagnosis of rolling bearings is proposed in this paper. The local Hilbert demodulation and local wavelet transform are introduced respectively. The wavelet transform is used to translate vibration signals into time-scale representation. Then, an envelope signal can be obtained by envelop spectrum analysis of wavelet coefficients of high scales from which the faults in a roller bearing could be diagnosed. Vibration signals measured from roller bearings test rig with outer race faults are analyzed by the proposed method. The results show that the proposed method can diagnose the faults in a roller bearing and fault patterns can be identified.
  • Keywords
    Hilbert transforms; computerised monitoring; condition monitoring; demodulation; fault diagnosis; mechanical engineering computing; production engineering computing; rolling bearings; vibrations; wavelet transforms; Hilbert envelop demodulation; fault diagnosis; fault patterns; rolling bearings; time-scale representation; vibration signals; wavelet analysis; Demodulation; Fault diagnosis; Frequency; Pattern analysis; Rolling bearings; Signal analysis; Signal processing; Vibrations; Wavelet analysis; Wavelet transforms; Envelope demodulation; Roller bearing; Wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1065-1
  • Electronic_ISBN
    978-1-4244-1066-8
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2007.4421724
  • Filename
    4421724