DOI QR코드

DOI QR Code

CBM+ 적용을 위한 설계초기단계 센서선정 추론 연구

A Study of Sensor Reasoning for the CBM+ Application in the Early Design Stage

  • 신백천 (금오공과대학교 기계공학과(항공기계전자융합공학전공)) ;
  • 허장욱 (금오공과대학교 기계시스템공학과(항공기계전자융합공학전공))
  • Shin, Baek Cheon (Department of Mechanical Engineering(Department of Aeronautics, Mechanical and Electronic Convergence Engineering of Mechanical Engineering), Kumoh National Institute of Technology) ;
  • Hur, Jang Wook (Department of Mechanical System Engineering, Kumoh National Institute of Technology)
  • 투고 : 2022.04.07
  • 심사 : 2022.06.22
  • 발행 : 2022.06.30

초록

For system maintenance optimization, it is necessary to establish a state information system by CBM+ including CBM and RCM, and sensor selection for CBM+ application requires system process for function model analysis at the early design stage. The study investigated the contents of CBM and CBM+, analyzed the function analysis tasks and procedures of the system, and thus presented a D-FMEA based sensor selection inference methodology at the early stage of design for CBM+ application, and established it as a D-FMEA based sensor selection inference process. The D-FMEA-based sensor inference methodology and procedure in the early design stage were presented for diesel engine sub assembly.

키워드

과제정보

본 연구는 과학기술정보통신부 및 정보통신기획평가원의 지역지능화혁신인재양성(Grand ICT연구센터) 사업의 연구결과로 수행되었음(IITP-2022-2020-0-01612).

참고문헌

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