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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.16 No.3
- 발행연도
- 2016.9
- 수록면
- 173 - 180 (8page)
이용수
초록· 키워드
오류제보하기
Fault detection and diagnosis is a task to monitor the occurrence of faults and pinpoint the exact location of faults in the system. Fault detection and diagnosis is gaining importance in development of efficient, advanced and safe industrial systems. Three phase inverter is one of the most common and excessively used power electronic system in industries. A fault diagnosis system is essential for safe and efficient usage of these inverters. This paper presents a fault detection technique and fault classification algorithm. A new feature extraction approach is proposed by using three-phase load current in three-dimensional space and neural network is used to diagnose the fault. Neural network is responsible of pinpointing the fault location. Proposed method and experiment results are presented in detail.
목차
Abstract
1. Introduction
2. Fault Detection System Structure
3. Feature Extraction Methodology
4. Simulation Studies
5. Conclusion
References
참고문헌 (7)
참고문헌 신청
[학술지(정기간행물)] - 김동억 / 2009 / Fault Diagnosis of Three-Phase PWM Inverters Using Wavelet and SVM / Journal of Power Electronics 9 (3) : 377 ~ 385
[학술대회논문] - F. Kadri / 2013 / Neural classification method in fault detection and diagnosis for voltage source inverter in variable speed drive with induction motor / Proceedings of 2013 8th International Conference and Exhibition on Ecological Vehicles and Renewable Energies
[학술지(정기간행물)] - S. Phogat / 2014 / Analysis of single-phase SPWM inverter / International Journal of Science and Research 3 (8) : 1793 ~ 1798
[학술대회논문] - J. F. Martins / 2012 / Fault detection and diagnosis of grid-connected power inverters using PCA and current mean value / Proceedings of 38th Annual Conference on IEEE Industrial Electronics Society (IECON2012)
[학술지(정기간행물)] - M. Ubale / 2013 / Method of open switch fault detection in three phase inverter using artificial neural network / International Journal for Research in Science & Advanced Technologies 3 (3) : 78 ~ 82
[학술대회논문] - F. Kadri / 2013 / Neural classification method in fault detection and diagnosis for voltage source inverter in variable speed drive with induction motor / Proceedings of 2013 8th International Conference and Exhibition on Ecological Vehicles and Renewable Energies
[학술지(정기간행물)] - S. Phogat / 2014 / Analysis of single-phase SPWM inverter / International Journal of Science and Research 3 (8) : 1793 ~ 1798
[학술대회논문] - J. F. Martins / 2012 / Fault detection and diagnosis of grid-connected power inverters using PCA and current mean value / Proceedings of 38th Annual Conference on IEEE Industrial Electronics Society (IECON2012)
[학술지(정기간행물)] - M. Ubale / 2013 / Method of open switch fault detection in three phase inverter using artificial neural network / International Journal for Research in Science & Advanced Technologies 3 (3) : 78 ~ 82
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UCI(KEPA) : I410-ECN-0101-2017-003-001399233