Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2001.07d
- /
- Pages.2175-2177
- /
- 2001
Faults Diagnosis of Induction Motors by Neural Network
인공신경망을 이용한 유도전동기 고장진단
- Kim, Boo-Y. (ECE. Sunchon Nat'l Univ.) ;
- Woo, Hyuk-J. (ECE. Sunchon Nat'l Univ.) ;
-
Song, Myung-H.
(ECE. Sunchon Nat'l Univ.)
;
- Park, Joong-J. (CIE. Gyeongsang Nat'l Univ.) ;
-
Kim, Kyung-M.
(EE. Yosu Nat'l Univ.)
- 김부열 (순천대학교 전기제어공학과) ;
- 우혁재 (순천대학교 전기제어공학과) ;
-
송명현
(순천대학교 전기제어공학과)
;
- 박중조 (경상대학교 제어계측공학과) ;
-
김경민
(여수대학교 전기공학과)
- Published : 2001.07.18
Abstract
This paper presents a faults diagnosis technique of induction motors based on a neural network. Only stator current is measured, transformed by using FFT and normalized for the training. Healthy, bearing fault, stator fault and rotor end-ring fault motors are prepared to obtain the learning data and diagnose the several faults. For more effective diagnosis, the load rate is changed by 100%, 60%, 30% of full load and the obtained are applied to the learning process. The experimental results show the proposed method is very detectable and applicable to the real diagnosis system.
Keywords