한국수소및신에너지학회논문집 (Transactions of the Korean hydrogen and new energy society)

  • 제34권5호
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  • Pages.478-489
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  • 2023
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  • 1738-7264(pISSN)
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  • 2288-7407(eISSN)
한국수소및신에너지학회 (The Korean Hydrogen and New Energy Society)
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시뮬레이션 기반 PEM 수전해 시스템 고장 진단 모델 개발

Development of a Fault Diagnosis Model for PEM Water Electrolysis System Based on Simulation

  • 구태형 (한국전기연구원 전기모빌리티연구단 수소전기연구팀) ;
  • 고락길 (한국전기연구원 전기모빌리티연구단 수소전기연구팀) ;
  • 노현우 (한국전기연구원 전기모빌리티연구단 수소전기연구팀) ;
  • 서영민 (한국전기연구원 전기모빌리티연구단 수소전기연구팀) ;
  • 하동우 (한국전기연구원 전기모빌리티연구단 수소전기연구팀) ;
  • 현대일 (국립공주대학교 미래자동차공학과) ;
  • 한재영 (국립공주대학교 미래자동차공학과)
  • TEAHYUNG KOO (Hydrogen Electric Research Team, Electric Mobility Research Division, Korea Electrotechnology Research Institute) ;
  • ROCKKIL KO (Hydrogen Electric Research Team, Electric Mobility Research Division, Korea Electrotechnology Research Institute) ;
  • HYUNWOO NOH (Hydrogen Electric Research Team, Electric Mobility Research Division, Korea Electrotechnology Research Institute) ;
  • YOUNGMIN SEO (Hydrogen Electric Research Team, Electric Mobility Research Division, Korea Electrotechnology Research Institute) ;
  • DONGWOO HA (Hydrogen Electric Research Team, Electric Mobility Research Division, Korea Electrotechnology Research Institute) ;
  • DAEIL HYUN (Department of Future Automotive Engineering, Kongju National University) ;
  • JAEYOUNG HAN (Department of Future Automotive Engineering, Kongju National University)
  • 투고 : 2023.09.25
  • 심사 : 2023.10.24
  • 발행 : 2023.10.30
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⟨ 이전 논문 다음 논문 ⟩

초록

In this study, fault diagnosis and detection methods developed to ensure the reliability of polymer electrolyte membrane (PEM) hydrogen electrolysis systems have been proposed. The proposed method consists of model development and data generation of the PEM hydrogen electrolysis system, and data-driven fault diagnosis learning model development. The developed fault diagnosis learning model describes how to detect and classify faults in the sensors and components of the system.

키워드

과제정보

이 연구는 2023년도 정부(과학기술정보통신부)의 재원으로 국가과학기술연구회의 지원을 받아 수행된 한국전기연구원 기본 사업임(No. 23A01043). 2023년도 산업통상자원부 및 산업기술평가관리원(KEIT) 연구비 지원에 의한 연구임(23A02119). 2023년도 교육부의 재원으로 한국연구재단의 지원을 받아 수행된 지자체-대학 협력기반 지역혁신 사업의 결과물임(2021RIS-004).

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