DocumentCode :
2919216
Title :
Application of notch filtering under low sampling rate for broken rotor bar detection with DTFT and AR based spectrum methods
Author :
Ayhan, B. ; Trussell, H.J. ; Chow, M.-Y. ; Song, M.-H.
fYear :
2005
fDate :
6-10 Nov. 2005
Abstract :
This paper demonstrates with experimental results that the use of a lower sampling rate with a notch filter is feasible for motor current signature analysis in broken rotor bar detection with DTFT (discrete time Fourier transform) and AR (auto regressive) based spectrum methods. The use of the lower sampling rate does not affect the performance of the fault detection, while requiring much less computation and low-cost in implementation, which would make it easier to implement in embedded systems for motor condition monitoring.
Keywords :
autoregressive processes; condition monitoring; discrete Fourier transforms; electric motors; embedded systems; fault location; notch filters; rotors; sampling methods; DTFT; auto regressive spectrum method; broken rotor bar detection; condition monitoring; discrete time Fourier transform; embedded system; fault detection; motor current signature analysis; notch filter; sampling rate; Condition monitoring; Fault detection; Filtering; Filters; Frequency; IEEE members; Induction motors; Rotors; Sampling methods; Spectral analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, 2005. IECON 2005. 31st Annual Conference of IEEE
Print_ISBN :
0-7803-9252-3
Type :
conf
DOI :
10.1109/IECON.2005.1569316
Filename :
1569316
Link To Document :
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