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A Case Study of FMEA: Focusing on Multi-type Power Management Systems

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence 바로가기
  • 통권
    Volume 13 Number 4 (2024.12)바로가기
  • 페이지
    pp.556-564
  • 저자
    Hyunju Kim, Byeongseok Yu, Donghyun Kim
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A462063

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원문정보

초록

영어
This study applies Failure Mode and Effects Analysis (FMEA) to Multi-type Power Management Systems (PMS) in ships, addressing the growing need for eco-friendly technologies in the maritime industry. We analyzed 30 risk factors across monitoring, control, and protection functions of PMS. The results revealed that 'Fail to Correct Monitor' was the most frequent risk type (50%), although with relatively low Risk Index (RI) values. Medium risk levels were predominant (50%), emphasizing the importance of systematic management. The Generator/Fuel Cell/Battery status monitoring module showed the highest risk occurrence rate (23.3%). Significant improvements were achieved through alternative measures, with the Reverse Power Trip function showing a 75% risk reduction. Key mitigation strategies included manual control options, standby power systems, and communication redundancy. This study provides a foundation for enhancing the safety and reliability of ship PMS, suggesting a balanced approach for future research that considers both occurrence frequency and impact. The findings offer practical insights for implementing safer and more efficient ship power management systems in compliance with international environmental regulations.

목차

Abstract
1. Introduction
2. Overview of FMEA
3. Result
3.1. FMEA Target System
3.2. FMEA Result
4. Conclusion
Acknowledgement
References

저자

  • Hyunju Kim [ Ph. D Student, Department of Industrial and Data Engineering, Pukyong National University, Busan, Korea ]
  • Byeongseok Yu [ Professor, Department of Smart Machine Mobility Engineering, Pukyong National University, Busan, Korea ]
  • Donghyun Kim [ Professor, Department of Smart Machine Mobility Engineering, Pukyong National University, Busan, Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

이 권호 내 다른 논문 / The International Journal of Advanced Smart Convergence Volume 13 Number 4

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