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
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.17 No.4
- 발행연도
- 2017.12
- 수록면
- 245 - 256 (12page)
- DOI
- 10.5391/IJFIS.2017.17.4.245
이용수
초록· 키워드
오류제보하기
In recent times, inverters are considered as the basic building block in an electrical drive system used widely in many industrial drive applications. However, the reliability of these inverters is mainly affected by the failure of power electronic switches. Various faults in inverter may influence the system operation by unexpected maintenance, which increases the cost factor and reduce overall efficiency. In this paper, comparative study of three different fault detection and diagnosis systems for three phase inverter is presented. The basic purpose of these fault detection and diagnosis systems is to detect single or multiple faults efficiently. These techniques rely on the neural network for fault detection and diagnosis by using Clarke transformed two-dimensional features extraction, three-dimensional features extraction and features extraction using discrete wavelet transform (DWT) with a different number of features in each technique. Several features are extracted using different mechanisms and used in the neural network as input for fault detection and diagnosis. Furthermore, a simulation study is carried out to analyze the fault detection and diagnosis response of these techniques. Also, a comparative study has been performed by considering fault detection time and accuracy. Comparison results prove the supremacy of three-dimensional feature extraction technique over other two techniques as it can detect and diagnose single, double and triple faults in a single cycle with high accuracy as compared to other two techniques multi-cycles detection.
목차
Abstract
1. Introduction
2. Fault Detection System Structure
3. Fault Detection and Diagnosis System Model
4. Simulation Studies
5. Conclusion
References
참고문헌 (25)
참고문헌 신청
D. E. Kim and D. C. Lee, “Fault diagnosis of three phase PWM inverters using wavelet and SVM,” Journal of Power Electronics, vol. 9, no. 3, pp. 377-385, 2009.
A. Muetze and A. Binder, “Practical rules for assessment of inverter-induced bearing currents in inverter-fed AC motors up to 500 kW,” IEEE Transactions on Industrial Electronics, vol. 54, no. 3, pp. 1614-1622, 2014. http://doi/org/10.1109/TIE.2007.894698
S. O. Ibrahim, K. N. Faris, and E. A. Elzahab, “Implementation of fuzzy modelling system for faults detection and diagnosis in three phase induction motor drive system,” Journal of Electrical Systems and Information Technology, vol. 2, no. 1, pp. 27-46, 2015. https://doi.org/10.1016/j.jesit.2015.03.004
C. Brunson, L. Empringham, L. de Lillo, P. Wheeler, and J. Clare, “Open-circuit fault detection and diagnosis in matrix converters,” IEEE Transactions on Power Electronics, vol. 30, no. 5, pp. 2840-2847, 2015. http://doi.org/10.1109/TPEL.2014.2364152
U. M. Choi, F. Blaabjerg, and K. B. Lee, “Study and handling methods of power IGBT module failures in power electronic converter systems,” IEEE Transactions on Power Electronics, vol. 30, no. 5, pp. 2517-2533, 2015. http://doi.org/10.1109/TPEL.2014.2373390
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UCI(KEPA) : I410-ECN-0101-2018-003-001712692