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
- 발행연도
- 2008.4
- 수록면
- 181 - 191 (11page)
이용수
초록· 키워드
오류제보하기
The task performed by induction motors grows increasingly complex in modern industry and hence improvements are sought in the field of fault diagnosis. It is essential to diagnose faults at their very inception, as unscheduled machine down time can upset critical dead lines and cause heavy financial losses. Artificial intelligence (AI) techniques have proved their ability in detection of incipient faults in electrical machines. This paper presents an application of AI techniques for the detection of inter-turn insulation and bearing wear faults in single-phase induction motors. The single-phase induction motor is considered a proto type model to create inter-turn insulation and bearing wear faults. The experimental data for motor intake current, rotor speed, stator winding temperature, bearing temperature and noise of the motor under running condition was generated in the laboratory. The different types of fault detectors were developed based upon three different AI techniques. The input parameters for these detectors were varied from two to five sequentially. The comparisons were made and the best fault detector was determined.
목차
ABSTRACT
1. Introduction
2. Identification of motor parameters and application AI techniques for fault detection
3. Comparative results and their analysis
4. Conclusion
References
참고문헌 (27)
참고문헌 신청
1. [단행본] - P.J. Tamer / 1989 / Condition Monitoring of Electrical Machines / Research studies press Ltd. Wiley
2. [학술지(정기간행물)] - Y. Han / 2003 / “Condition Monitoring Techniques for Electrical Equipment—A Literature Survey,” / IEEE Transactions on Power Delivery 18 (1) : 4 ~ 13
3. [학술지(정기간행물)] - Levent Eren / 2004 / “Bearing Damage Detection via Wavelet Packet Decomposition of the Stator Current,” / IEEE Transactions on Instrumentation and measurements 53 (2) : 431 ~ 436
4. [학술지(정기간행물)] - Arfat Siddique / 2005 / “A Review of Stator Fault Monitoring Techniques of Induction Motors,” / IEEE Transactions on Energy Conversion 20 (1) : 106 ~ 115
5. [학술지(정기간행물)] - Mario J. Durán / 2006 / “Induction-Motor Sensor less Vector Control With Online Parameter Estimation and Over current Protection,” / IEEE Transaction on Industrial Electronic 53 (1) : 154 ~ 161
2. [학술지(정기간행물)] - Y. Han / 2003 / “Condition Monitoring Techniques for Electrical Equipment—A Literature Survey,” / IEEE Transactions on Power Delivery 18 (1) : 4 ~ 13
3. [학술지(정기간행물)] - Levent Eren / 2004 / “Bearing Damage Detection via Wavelet Packet Decomposition of the Stator Current,” / IEEE Transactions on Instrumentation and measurements 53 (2) : 431 ~ 436
4. [학술지(정기간행물)] - Arfat Siddique / 2005 / “A Review of Stator Fault Monitoring Techniques of Induction Motors,” / IEEE Transactions on Energy Conversion 20 (1) : 106 ~ 115
5. [학술지(정기간행물)] - Mario J. Durán / 2006 / “Induction-Motor Sensor less Vector Control With Online Parameter Estimation and Over current Protection,” / IEEE Transaction on Industrial Electronic 53 (1) : 154 ~ 161
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