A brief overview of the integrated importance measure

Guangliang Gao, Hongyan Dui, Shubin Si, Shenggui Zhang

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

Abstract

Importance measures in reliability engineering are used to identify weak components and/or states in contributing to the reliable functioning of a system. Traditionally, importance measures do not consider the possible effect of transition rates among different component states, which, however, has great effect on the component probability distribution and should therefore be taken into consideration. This paper reviews the integrated importance measure (IIM). IIM evaluates how the transition of component states affects the system performance. IIM is a good measure for engineers to determine that in which state it is most worthy to keep the component to provide the desired level of system performance, and which component is the most important to keep in some state and above for improving the performance of the system.

Original languageEnglish
Title of host publication43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013
PublisherComputers and Industrial Engineering
Pages327-331
Number of pages5
ISBN (Print)9781629934372
StatePublished - 2013
Event43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013 - Hong Kong, Hong Kong
Duration: 16 Oct 201318 Oct 2013

Publication series

NameProceedings of International Conference on Computers and Industrial Engineering, CIE
Volume1
ISSN (Electronic)2164-8689

Conference

Conference43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013
Country/TerritoryHong Kong
CityHong Kong
Period16/10/1318/10/13

Keywords

  • Component state
  • Importance measure
  • Reliability
  • System performance
  • Transition

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