Authors: Mohamed El Morsy; Gabriela Achtenová
Addresses: Faculty of Engineering – Mechanical Design Department, Helwan University, Cairo, Egypt ' Faculty of Mechanical Engineering, Czech Technical University in Prague, Prague, Czech Republic
Abstract: Envelope and cepstrum analyses are useful tools to identify the fault bearing characteristic frequencies (BCFs) and distinguish them from other frequencies. However, the traditional envelope analysis has disadvantages such as the choice of central frequency of filter needs prior experience. To overcome the traditional envelope shortage, an optimal wavelet filter is used as a band-pass filter whose parameters are optimised based on the maximum kurtosis value. To further reduce the residual in-band noise and highlight the periodic impulsive feature, an envelope enhancement is applied to the filtered signal. The article aims to compare these two condition monitoring tools in a pragmatic way and demonstrate their properties by using a practical example of a rolling bearing fault. The results prove that cepstrum analysis provides a clear indication of fault for machine parts such as vehicle gearbox, in addition to evaluating the efficiency of proposed band-pass filter in the envelope analysis.
Keywords: envelope analysis; wavelet analysis; cepstrum algorithm; bearing fault diagnosis.
International Journal of Vehicle Noise and Vibration, 2017 Vol.13 No.3/4, pp.350 - 368
Available online: 23 Jan 2018 *Full-text access for editors Access for subscribers Purchase this article Comment on this article