DocumentCode
452867
Title
Rule-Based Motor Fault Detection
Author
Eren, Levent ; Onur Baskirt ; Devaney, M.J.
Author_Institution
Dept. of Electr. & Comput. Eng., Bahcesehir Univ., Istanbul
Volume
2
fYear
2005
fDate
16-19 May 2005
Firstpage
834
Lastpage
837
Abstract
Motor current signature analysis (MCSA) provides a non-intrusive way of assessing health of a motor. In this paper, we propose a rule based motor health monitoring system that is capable of detecting faults at varying operating conditions. Motor current is non-stationary due varying load conditions. Wavelet packet decomposition is utilized in this study for processing of non-stationary motor current
Keywords
fault diagnosis; rotors; wavelet transforms; MCSA; motor current signature analysis; motor health monitoring system; nonstationary motor current; rule-based motor fault detection; wavelet packet decomposition; Circuit faults; Condition monitoring; Electrical fault detection; Fault detection; Frequency; Knowledge based systems; Neural networks; Rotors; Vibrations; Wavelet packets; Motor current signature; rule-based decision systems; wavelet packet decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
Conference_Location
Ottawa, Ont.
Print_ISBN
0-7803-8879-8
Type
conf
DOI
10.1109/IMTC.2005.1604250
Filename
1604250
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