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