Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/46525
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Type: Conference paper
Title: Detection of the Rolling Element Bearing Faults using Optimized Wavelet De-Noising Technique
Author: Al-Raheem, K.
Roy, A.
Ramachandran, K.
Harrison, O.
Grainger, S.
Citation: ICSP'06 : 2006 8th International Conference on Signal Processing : proceedings, November 16-20, 2006, Guilin, China / Yuan Baozong, Ruan Qiuqi, Tang Xiaofang (eds.)
Publisher: IEEE Press
Publisher Place: Online
Issue Date: 2006
ISBN: 0780397363
9780780397378
Conference Name: International Conference on Signal Processing (8th : 2006 : Beijing, China)
Abstract: Rolling bearing fault detection approach using wavelet de-noising technique based on optimized wavelet-base function derived from the impulse response of the bearing system is proposed. The wavelet parameters are optimized based on maximization kurtosis criteria to ensure large similarity with the impulse generated by incipient bearing fault.
Description: © Copyright 2008 IEEE
RMID: 0020081690
DOI: 10.1109/ICOSP.2006.346065
Appears in Collections:Mechanical Engineering publications

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