지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.2 No.4
- 발행연도
- 2007.12
- 수록면
- 485 - 493 (9page)
이용수
초록· 키워드
오류제보하기
This paper deals with the problem of detection of induction motor incipient faults. Artificial Neural Network (ANN) approach is applied to detect two types of incipient faults (1). Inter-turn insulation and (2) Bearing wear faults in single-phase induction motor. The experimental data for five measurable parameters (motor intake current, rotor speed, winding temperature, bearing temperature and the noise) is generated in the laboratory on specially designed single-phase induction motor. Initially, the performance is tested with two inputs i.e. motor intake current and rotor speed, later the remaining three input parameters (winding temperature, bearing temperature and the noise) were added sequentially. Depending upon input parameters, the four ANN based fault detectors are developed. The training and testing results of these detectors are illustrated. It is found that the fault detection accuracy is improved with the addition of input parameters.
목차
Abstract
1. Introduction
2. Non-linear Relations of Motor Parameters
3. Results and Discussion
4. Conclusion
References
참고문헌 (14)
참고문헌 신청
, 181-196 , On the Application and Design of Artificial Neural Networks for Motor Fault Detection IEEE transaction on Industrial Electronics
, 1991 , A Neural Network Approach to Real Time Condition Monitoring of Induction Motors IEEE transaction on Industrial Electronics : 448 ~ 453
, , Using a neural, fuzzy system to Extract Heuristic Knowledge of Incipient Faults in Induction Motors IEEE Transaction on Industrial Electronics : 131 ~ 146
, , Adaptation of neural, fuzzy fault detection system in Proceedings of IEEE conference on Decision and Control : 1733 ~ 1738
, 1991 , Methodology for On-line Incipient Fault Detection in Single-phase Squirrel-cage Induction Motors Using Artificial Neural Networks IEEE Transaction on Energy Conversation Vol : 536 ~ 545
, 1991 , A Neural Network Approach to Real Time Condition Monitoring of Induction Motors IEEE transaction on Industrial Electronics : 448 ~ 453
, , Using a neural, fuzzy system to Extract Heuristic Knowledge of Incipient Faults in Induction Motors IEEE Transaction on Industrial Electronics : 131 ~ 146
, , Adaptation of neural, fuzzy fault detection system in Proceedings of IEEE conference on Decision and Control : 1733 ~ 1738
, 1991 , Methodology for On-line Incipient Fault Detection in Single-phase Squirrel-cage Induction Motors Using Artificial Neural Networks IEEE Transaction on Energy Conversation Vol : 536 ~ 545
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