• DocumentCode
    452914
  • Title

    Wavelet-Based Enveloping for Spindle Health Diagnosis

  • Author

    Zhang, Li ; Gao, Robert X. ; Lee, Kang B.

  • Author_Institution
    Dept. of Mech. & Ind. Eng., Massachusetts Univ., Amherst, MA
  • Volume
    2
  • fYear
    2005
  • fDate
    16-19 May 2005
  • Firstpage
    1203
  • Lastpage
    1208
  • Abstract
    A new method for identifying structural defect-induced vibration signals was developed based on the analytic wavelet transform. The advantage of this method is that it extracts a defect-related impulse signal and constructs its envelope in a single step, eliminating the need for intermediate operations. Theoretical background of the analytic wavelet transform is studied. Analysis of numerically simulated and experimental vibration signals have confirmed that the developed method can successfully detect the small defect-induced impulses that are buried in the main vibration and noise signals
  • Keywords
    machine tool spindles; signal detection; vibrations; wavelet transforms; analytic wavelet transform; defect-induced vibration signals; defect-related impulse signal; small defect-induced impulses; spindle health diagnosis; structural vibration signals; wavelet-based enveloping; Frequency; Machine tools; Manufacturing; Shafts; Signal analysis; Signal generators; Signal processing; Vibration measurement; Wavelet analysis; Wavelet transforms; Analytic wavelet; spindle health diagnosis; wavelet enveloping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
  • Conference_Location
    Ottawa, Ont.
  • Print_ISBN
    0-7803-8879-8
  • Type

    conf

  • DOI
    10.1109/IMTC.2005.1604337
  • Filename
    1604337