Rolling Element Bearing Fault Diagnosis Using Laplace-Wavelet Envelope Power Spectrum. (24th May 2007)

• Record Type: Journal Article
• Authors: Al-Raheem Al-Raheem, Khalid F. Khalid F.; Roy Roy, Asok Asok; Ramachandran Ramachandran, K. P. K. P.; Harrison Harrison, D. K. D. K.; Grainger Grainger, Steven Steven
• Other Names: Kot Kot Alex Alex Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2007(2007)
• Publication Date: 2007-05-24
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2007/73629
• Languages: English
• ISSNs: 1687-6172

Abstract

Abstract : 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.