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Development of Inverter fault diagnostic algorithm based on CT for small-sized wind turbine system
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CT기반의 소형 풍력발전 시스템 인버터 고장진단 알고리즘 개발

논문 기본 정보

Type
Academic journal
Author
Dae-Sun Moon (군산대학교) Sung-Ho Kim (군산대학교)
Journal
Korean Institute of Intelligent Systems Journal of Korean Institute of Intelligent Systems Vol.21 No.6 KCI Accredited Journals
Published
2011.12
Pages
767 - 774 (8page)

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Development of Inverter fault diagnostic algorithm based on CT for small-sized wind turbine system
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Research history (2)

2011

Development of Inverter fault diagnostic algorithm based on CT for small-sized wind turbine system
Dae-Sun Moon ,  Sung-Ho Kim Journal of Korean Institute of Intelligent Systems 2011.12 Academic journal
Development of Inverter fault diagnostic algorithm based on CT for small-sized wind turbine system
Dae-Sun Moon ,  이연석 ,  Sung-Ho Kim 한국지능시스템학회 학술발표 논문집 2011.12 Proceeding
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Abstract· Keywords

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In recent years, wind turbine system has been considered as the most efficient renewable energy source. Wind turbine system is a complex system which is composed of blade, generator and inverter systems. Recently, lots of researches on fault detection and diagnosis of wind turbine system have been done. Most of them are related with the fault diagnosis of mechanical elements using bivration signal. In this work, a new type of inverter fault detection and diagnstic algorithm is proposed. Furthermore, extensive simulation studies and practical experiments are carried out to verify the proposed algorithm.
#소형 풍력발전 시스템 #인버터 고장진단 #Concordia Transform #small sized wind turbine system #fault diagnosis #Concordia Transform

Contents

요약
Abstract
1. 서론
2. 소형 풍력발전 시스템의 구성
3. 제안된 풍력발전 시스템 인버터 고장진단 기법
4. 결론
참고문헌

References (2)

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김세호. 풍력발전시스템이 연계된 계통의 과도상태해석. 한국태양에너지학회 논문집. 2003 dbpia 김영기, 변재희, 최태식, 소철호. 풍력발전기 기계 상태 모니터링에 대한 연구. 대한전기학회 학술대회 논문집. 2010 dbpia

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