Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 1994.07a
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- Pages.21-23
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- 1994
Fault Diagnosis of Shunt Motor using Artificial Neural Network
인공 신경망을 이용한 분권 전동기의 고장 진단
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Lee, Kee-Sang
(Dept. of Electrical Eng. Dankook Univ.)
;
- Choi, Nak-Won (Dept. of Electrical Eng. Dankook Univ.) ;
- Lim, Jea-Hyung (Dept. of Electrical Eng. Dankook Univ.) ;
- Lee, Jeong-Dong (Dept. of Electrical Eng. Dankook Univ.)
- Published : 1994.07.21
Abstract
A Fault Detection. Isolation scheme based on ANN(Artifical Neural Network) is proposed for the supervision of a DC shunt motor. The Proposed FDI scheme can promptly detect the occurence of fault and classify all the faults that may occur during the operation. Also. it covers the full operating range in spite that the mathematical model of the motor contain strong nonlinearities. The simulation results show that the FDIU has good diagnostic ability even in the noisy environment.
Keywords