Journal of the Korean Society of Systems Engineering (시스템엔지니어링학술지)

The Korean Society of Systems Engineering (한국시스템엔지니어링학회)
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A Study of Sensor Reasoning for the CBM+ Application in the Early Design Stage

CBM+ 적용을 위한 설계초기단계 센서선정 추론 연구

  • 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)
  • 신백천 (금오공과대학교 기계공학과(항공기계전자융합공학전공)) ;
  • 허장욱 (금오공과대학교 기계시스템공학과(항공기계전자융합공학전공))
  • Received : 2022.04.07
  • Accepted : 2022.06.22
  • Published : 2022.06.30
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Abstract

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.

Keywords

Acknowledgement

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

References

  1. USDoD, "Condition Based Maintenance Plus DoD Guidebook", pp. 6-10 2018.
  2. MIMOSA, "Open Systems Architecture for Condition-based Maintenance primer", pp. 2-12, 2006.
  3. S. D. Rudov-Clark, J. Stecki, "The Language of FMEA: on the Effective Use and Reuse of FMEA Data, AIAC-13 Thirteenth Australian International Aerospace Congress, pp. 2-7, 2009.
  4. Stone, R. B., Tumer, I. Y., Van Wie, M., "The Function Failure Design Method" ASME Journal of Mechanical Design, pp. 127-397, 2005.
  5. Kirschman, C. F., Fadel, G. M., Jara Almonte, C. C., "Classifying Functions for Mechanical Design", in Proc. The 1996 ASME Design Engineering Technical Sixth DSTO International Conference on Health & Usage Monitoring, 96-DETC/DTM1504, Irvine, pp. 18-22, 1996.
  6. USNAVY, "NEAVSEA RCM", 1993, pp. 49-71
  7. US DoD, Mil-STD-1629A, pp. 18-28, 1998.
  8. AIAG, Failure Mode and Effects Analysis 4th Edition Overview, pp. 15~66, 2013.
  9. Bidokhti, N., "How to Close the Gap between Hardware and Software using FMEA", in Reliability and Maintainability Symposium, pp. 167-172, 2007.
  10. Schmidhuber, Jurgen, "Deep Learning in Neural Networks: An Overview", Neural Networks, Vol. 61, pp 85-117, 2015. https://doi.org/10.1016/j.neunet.2014.09.003