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
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