Weatherwax, Scott Eric (2008-08). Use of the continuous wavelet tranform to enhance early diagnosis of incipient faults in rotating element bearings. Master's Thesis. Thesis uri icon


  • This thesis focused on developing a new wavelet for use with the continuous
    wavelet transform, a new detection method and two de-noising algorithms for rolling
    element bearing fault signals. The work is based on the continuous wavelet transform
    and implements a unique Fourier Series estimation algorithm that allows for least squares
    estimation of arbitrary frequency components of a signal. The final results of the
    research also included use of the developed detection algorithm for a novel method of
    estimating the center frequency and bandwidth for use with the industry standard
    detection algorithm, envelope demodulation, based on actual fault data. Finally, the
    algorithms and wavelets developed in this paper were tested against seven other wavelet
    based de-noising algorithms and shown to be superior for the de-noising and detection of
    inner and outer rolling element race faults.

publication date

  • August 2008