Title :
Rule-Based Motor Fault Detection
Author :
Eren, Levent ; Onur Baskirt ; Devaney, M.J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Bahcesehir Univ., Istanbul
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-8879-8
DOI :
10.1109/IMTC.2005.1604250
