• DocumentCode
    2505838
  • Title

    An approach to vibroacoustical signal phase-keeping purification by optimum FIR digital filters design

  • Author

    Wenqun, Wang ; Zunmin, Geng

  • Author_Institution
    Shandong Univ. of Technol., Jinan, China
  • Volume
    2
  • fYear
    1996
  • fDate
    14-18 Oct 1996
  • Firstpage
    1683
  • Abstract
    The machinery´s vibroacoustical signal purification with no distortion is essential for mechanical fault diagnostics. Among the multitude of phase-keeping purifying method, limit-duration impulse response filters have received renewed attention for several reasons. The finite-length filter offers the advantages of stability, exact linear phase and high-speed implementation with the fast Fourier transform. This paper presents an efficient numerical technique for the accelerating optimum (in the Chebyshev sense) FIR digital filters design. Its advantages over other FIR filters (typically the Kaiser windowing technique) are discussed and compared. Upon this basis, the authors apply the technique for the machinery´s vibroacoustical signals phase-keeping purification and get some obviously analytic results that proved its extensively flexible suitability and effectiveness
  • Keywords
    FIR filters; acoustic signal processing; circuit optimisation; delay circuits; digital filters; fault diagnosis; filtering theory; machine bearings; machine testing; vibrations; FFT; FIR digital filters design; Kaiser windowing techniqu; efficient numerical technique; fast Fourier transform; finite length filter; gear; high speed implementation; limit duration impulse response filters; linear phase; mechanical fault diagnostics; optimum FIR digital filters design; rolling bearing; vibroacoustical signal phase keeping purification; Acceleration; Chebyshev approximation; Digital filters; Distortion; Fast Fourier transforms; Finite impulse response filter; Machinery; Nonlinear filters; Purification; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 1996., 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-2912-0
  • Type

    conf

  • DOI
    10.1109/ICSIGP.1996.571259
  • Filename
    571259