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Risk Evaluation of Failure Cause for FMEA under a Weibull Time Delay Model

와이블 지연시간 모형 하에서의 FMEA를 위한 고장원인의 위험평가

  • Kwon, Hyuck Moo (Department of Systems Management and Engineering, Pukyong National University) ;
  • Lee, Min Koo (Department of Information and Statistics, Chungnam National University) ;
  • Hong, Sung Hoon (Department of Industrial and Information Systems Engineering, Chonbuk National University)
  • 권혁무 (부경대학교 시스템경영공학부) ;
  • 이민구 (충남대학교 정보통계학과) ;
  • 홍성훈 (전북대학교 산업정보시스템공학과)
  • Received : 2018.02.19
  • Accepted : 2018.05.14
  • Published : 2018.06.30

Abstract

This paper suggests a weibull time delay model to evaluate failure risks in FMEA(failure modes and effects analysis). Assuming three types of loss functions for delayed time in failure cause detection, the risk of each failure cause is evaluated as its occurring frequency and expected loss. Since the closed form solution of the risk metric cannot be obtained, a statistical computer software R program is used for numerical calculation. When the occurrence and detection times have a common shape parameter, though, some simple results of mathematical derivation are also available. As an enormous quantity of field data becomes available under recent progress of data acquisition system, the proposed risk metric will provide a more practical and reasonable tool for evaluating the risks of failure causes in FMEA.

Keywords

References

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