Journal of the Society of Naval Architects of Korea (대한조선학회논문집)

The Society of Naval Architects of Korea (대한조선학회)
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A Study on the Development of a Failure Simulation Database for Condition Based Maintenance of Marine Engine System Auxiliary Equipment

선박 기관시스템 보조기기의 상태기반 고장진단/예측을 위한 고장 모사 데이터베이스 구축

  • Kim, Jeong Yeong (Department of Reliability Assessment, Korea Institute of Machinery and Materials) ;
  • Lee, Tae Hyun (Department of Reliability Assessment, Korea Institute of Machinery and Materials) ;
  • Lee, Song Ho (Department of Reliability Assessment, Korea Institute of Machinery and Materials) ;
  • Lee, Jong Jik (Department of Reliability Assessment, Korea Institute of Machinery and Materials) ;
  • Shin, Dong Min (Department of Reliability Assessment, Korea Institute of Machinery and Materials) ;
  • Lee, Won kyun (School of mechanical Engineering, Chungnam National University) ;
  • Kim, Youg Jin (Department of Reliability Assessment, Korea Institute of Machinery and Materials)
  • 김정영 (한국기계연구원 신뢰성평가연구실) ;
  • 이태현 (한국기계연구원 신뢰성평가연구실) ;
  • 이송호 (한국기계연구원 신뢰성평가연구실) ;
  • 이종직 (한국기계연구원 신뢰성평가연구실) ;
  • 신동민 (한국기계연구원 신뢰성평가연구실) ;
  • 이원균 (충남대학교 기계공학부) ;
  • 김용진 (한국기계연구원 신뢰성평가연구실)
  • Received : 2022.04.19
  • Accepted : 2022.06.04
  • Published : 2022.08.20
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Abstract

This study is to develop database by an experimental method for the development of condition based maintenance for auxiliary equipment in marine engine systems. Existing ships have been performing regular maintenance, so the actual measurement data development is very incomplete. Therefore, it is best to develop a database on land tests. In this paper, a database developed by an experimental method is presented. First, failure case analysis and reliability analysis were performed to select a failure mode. For the failure simulation test, a test bed for land testing was developed. The failure simulation test was performed based on the failure simulation scenario in which the failure simulation test plan was defined. A 1.5TB failure simulation database has been developed, and it is expected to serve as a basis for ship failure diagnosis and prediction algorithm model development.

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Acknowledgement

본 논문은 산업통상자원부에서 시행하는 자율운항선박 핵심기관시스템 성능 모니터링 및 고장예측/진단 시스템 기술 개발 연구(과제번호 : 20011164)의 일환으로 수행되었습니다.