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  • Research Article
  • Open Access

Rolling Element Bearing Fault Diagnosis Using Laplace-Wavelet Envelope Power Spectrum

  • 1Email author,
  • 2,
  • 1,
  • 2 and
  • 2
EURASIP Journal on Advances in Signal Processing20072007:073629

  • Received: 1 July 2006
  • Accepted: 1 April 2007
  • Published:


The bearing characteristic frequencies (BCF) contain very little energy, and are usually overwhelmed by noise and higher levels of macro-structural vibrations. They are difficult to find in their frequency spectra when using the common technique of fast fourier transforms (FFT). Therefore, Envelope Detection (ED) has always been used with FFT to identify faults occurring at the BCF. However, the computation of the ED is suffering to strictly define the resonance frequency band. In this paper, an alternative approach based on the Laplace-wavelet enveloped power spectrum is proposed. The Laplace-Wavelet shape parameters are optimized based on Kurtosis maximization criteria. The results for simulated as well as real bearing vibration signal show the effectiveness of the proposed method to extract the bearing fault characteristic frequencies from the resonant frequency band.


  • Fast Fourier Transform
  • Fault Diagnosis
  • Vibration Signal
  • Rolling Element
  • Element Bearing

Authors’ Affiliations

Department of Mechanical and Industrial Engineering, Caledonian College of Engineering, P.O. Box 2322, CPO Seeb, PC, 111, Oman
School of Engineering Science and Design, Glasgow Caledonian University, Glasgow, G40BA, UK


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© Khalid F. Al-Raheem et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.