DocumentCode :
182644
Title :
Improved stator current spectral analysis technique for bearing fault diagnosis
Author :
Boudinar, Ahmed Hamida ; Benouzza, Noureddine ; Bendiabdellah, Azeddine ; Ferradj, Mohamed
Author_Institution :
Diagnosis Group, Univ. of Sci. & Technol. of Oran, Oran, Algeria
fYear :
2014
fDate :
21-24 Sept. 2014
Firstpage :
1228
Lastpage :
1233
Abstract :
Although detection of bearing faults from vibration signal has been extensively used, detection using electrical signal such as the stator current has also proven to be interesting and relevant, but improvements of the stator current spectrum are necessary so as to assist in a more readable signal. In this paper, two improvements have been proposed and discussed. Firstly, the proposition of a designed and realized anti-aliasing filter to be inserted in the acquisition chain so as to improve the processed signals quality. Secondly, the proposition of a developed algorithm to enable the maxima localization in a given frequency band for a more readable stator current spectrum. The experimental results obtained, show the merit and effectiveness of the proposed contribution.
Keywords :
antialiasing; fault diagnosis; induction motors; machine bearings; signal detection; spectral analysis; stators; vibrations; acquisition chain; antialiasing filter; bearing fault diagnosis; electrical signal detection; induction motor; maxima localization; signal quality improvement; stator current spectral analysis technique; vibration signal; Fault diagnosis; Harmonic analysis; Power harmonic filters; Spectral analysis; Stator windings; Vibrations; Antialiasing filter; Bearings faults; Current Spectrum; Maximum localization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Motion Control Conference and Exposition (PEMC), 2014 16th International
Conference_Location :
Antalya
Type :
conf
DOI :
10.1109/EPEPEMC.2014.6980679
Filename :
6980679
Link To Document :
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