DocumentCode
1948489
Title
Detection of the Rolling Element Bearing Faults using Optimized--Wavelet De-Noising Technique.
Author
Al-Raheem, K.F. ; Roy, Anirban ; Ramachandran, K.P. ; Harrison, O.K. ; Grainger, Steven
Author_Institution
Dept. of Mech. & Ind. Eng., Caledonian Coll. of Eng.
Volume
4
fYear
2006
fDate
16-20 Nov. 2006
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. The results show the effectiveness of the proposed wavelet de-noising to reveal the impulses produced by faulty bearing and estimate its period.
Keywords
acoustic signal processing; fault diagnosis; optimisation; rolling bearings; signal denoising; wavelet transforms; impulse response; maximization kurtosis criteria; optimized-wavelet denoising technique; rolling element bearing fault detection; Fault detection; Feature extraction; Frequency; Noise reduction; Resonance; Rolling bearings; Signal analysis; Wavelet analysis; Wavelet coefficients; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2006 8th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9736-3
Electronic_ISBN
0-7803-9736-3
Type
conf
DOI
10.1109/ICOSP.2006.346065
Filename
4129757
Link To Document