Criticality Analysis Method Based on Integrated Importance Measure

Shubin Si, Wenhai He, Xianzhi Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The Failure mode, Effects and Criticality Analysis (FMECA) is one of most widely used reliability analysis method in modern engineering. The target of FMECA is to find the most hazard part of the system in order to reduce the hazard and improve the reliability. While carrying out FMECA, conventional CA methods lead to objectivity, ambiguity and human bias to the result. In order to handle these problems, this paper proposes a new criticality analysis method using integrated importance measures (IIM). Taking a numerical example, the proposed method finds the most risky failure mode precisely and objectively. It is obvious that the proposed method is scientific and effective, which provides a valid approach to engineering practice.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE International Conference on Software Quality, Reliability and Security Companion, QRS-C 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages160-164
Number of pages5
ISBN (Electronic)9781538620724
DOIs
StatePublished - 7 Aug 2017
Event2017 IEEE International Conference on Software Quality, Reliability and Security Companion, QRS-C 2017 - Prague, Czech Republic
Duration: 25 Jul 201729 Jul 2017

Publication series

NameProceedings - 2017 IEEE International Conference on Software Quality, Reliability and Security Companion, QRS-C 2017

Conference

Conference2017 IEEE International Conference on Software Quality, Reliability and Security Companion, QRS-C 2017
Country/TerritoryCzech Republic
CityPrague
Period25/07/1729/07/17

Keywords

  • criticality analysis
  • FMECA
  • IIM
  • risk level matrix

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