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
- 2016.5
- 수록면
- 1,097 - 1,109 (13page)
이용수
초록· 키워드
오류제보하기
Fault detection and isolation are related to system monitoring, identifying when a fault has occurred, and determining the type of fault and its location. Fault detection is utilized to determine whether a problem has occurred within a certain channel or area of operation. Fault detection and diagnosis have become increasingly important for many technical processes in the development of safe and efficient advanced systems for supervision. This paper presents an integrated technique for fault diagnosis and classification for open- and short-circuit faults in three-phase inverter circuits. Discrete wavelet transform and principal component analysis are utilized to detect the discontinuity in currents caused by a fault. The features of fault diagnosis are then extracted. A fault dictionary is used to acquire details about transistor faults and the corresponding fault identification. Fault classification is performed with a fuzzy logic system and relevance vector machine (RVM). The proposed model is incorporated with a set of optimization techniques, namely, evolutionary particle swarm optimization (EPSO) and cuckoo search optimization (CSO), to improve fault detection. The combination of optimization techniques with classification techniques is analyzed. Experimental results confirm that the combination of CSO with RVM yields better results than the combinations of CSO with fuzzy logic system, EPSO with RVM, and EPSO with fuzzy logic system.
목차
Abstract
I. INTRODUCTION
II. RELATED WORK
III. FAULT DETECTION AND CLASSIFICATION WITH OPTIMIZATION METHODOLOGY
IV. PERFORMANCE ANALYSIS
V. CONCLUSION AND FUTURE WORK
REFERENCES
참고문헌 (43)
참고문헌 신청
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R. Dubey, S. R. Samantaray, A. Tripathy, B. C. Babu, and
M. Ehtesham, “Wavelet based energy function for
symmetrical fault detection during power swing,” in 2012
Students Conference on Engineering and Systems (SCES),
pp. 1-6, Mar. 2012.
M. N. Alam, R. H. Bhuiyan, R. Dougal, and M. Ali, “Novel
surface wave exciters for power line fault detection and
communications,” in IEEE International Symposium on
Antennas and Propagation(APSURSI), pp. 1139-1142, Jul.
2011.
M. N. Alam, R. H. Bhuiyan, R. A. Dougal, and M. Ali,
“Design and application of surface wave sensors for
nonintrusive power line fault detection,” IEEE Sensors J.,
Vol. 13, No. 1, pp. 339-347, Jan. 2013.
A. Ashouri, A. Jalilvand, R. Noroozian, and A. Bagheri, “A
new approach for fault detection in digital relays-based
power system using Petri nets,” in 2010 Joint International
Conference on Power Electronics, Drives and Energy
Systems (PEDES) & 2010 Power India, pp. 1-8. Dec. 2010.
R. Dubey, S. R. Samantaray, A. Tripathy, B. C. Babu, and
M. Ehtesham, “Wavelet based energy function for
symmetrical fault detection during power swing,” in 2012
Students Conference on Engineering and Systems (SCES),
pp. 1-6, Mar. 2012.
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