Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/46284
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Type: | Journal article |
Title: | Rolling element bearing fault diagnosis using laplace-wavelet envelope power spectrum |
Author: | Al-Raheem, K. Roy, A. Ramachandran, K. Harrison, D. Grainger, S. |
Citation: | Eurasip Journal on Advances in Signal Processing, 2007; 2007(1):1-14 |
Publisher: | SpringerOpen |
Issue Date: | 2007 |
ISSN: | 1687-6180 1687-6180 |
Statement of Responsibility: | Khalid F. Al-Raheem, Asok Roy, K. P. Ramachandran, D. K. Harrison, and Steven Grainger |
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. |
Rights: | Copyright © 2007 Khalid F. Al-Raheem et al. 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. |
DOI: | 10.1155/2007/73629 |
Published version: | http://dx.doi.org/10.1155/2007/73629 |
Appears in Collections: | Aurora harvest 6 Mechanical Engineering publications |
Files in This Item:
File | Description | Size | Format | |
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hdl_46284.pdf | Published version | 2.91 MB | Adobe PDF | View/Open |
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