DocumentCode :
666575
Title :
Bearing Fault diagnosis using a pre-filtering and a spectral identification algorithm
Author :
Masmoudi, M.L. ; Etien, Erik ; Moreau, Sandrine ; Sakout, A.
Author_Institution :
LIAS Lab., Univ. of Poitiers, Poitiers, France
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
5476
Lastpage :
5481
Abstract :
The Time Synchronous Averaging (TSA) is a well known method used for early detection of defects in rolling elements. This paper applies and evaluates the effectiveness of this method, spefifies its limitations, and improves it using a pre-filtering of the envelop signal associated with an identification method based on Marquardt algorithm. The proposed procedure is evaluated and applied theoretically and practically on simulated and real signals.
Keywords :
condition monitoring; fault diagnosis; filtering theory; mechanical engineering computing; rolling bearings; signal processing; Marquardt algorithm; bearing fault diagnosis; defect early detection; envelop signal prefiltering; rolling elements; spectral identification algorithm; time synchronous averaging; Time-frequency analysis; Marquardt algorithm; TSA; Vibratons; diagnosis; signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
ISSN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2013.6700028
Filename :
6700028
Link To Document :
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