Integrated importance analysis with multi-state multivalued decision diagrams

Shumin Li, Shudong Sun, Zhiqiang Cai, Shubin Si

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

Abstract

The paper proposed an analytical method to facilitate the calculation of integrated importance measure (IIM) for component state based on multi-state multi-valued decision diagram (MMDD). First, the physical meaning and decomposition of IIM are discussed. Then, the modeling method of MMDD based on multi-state fault tree analysis (MFTA) is introduced. Third, the IIM analysis method based on MMDD is proposed with a 6-step procedure. Finally, according to the MFTA of a power system, a case study is implemented to demonstrate the MMDD modeling and IIM calculation process. The results show that MMDD provide a convenient framework to evaluate the IIM of each component state in system maintenance.

Original languageEnglish
Title of host publicationProceedings - 18th ISSAT International Conference on Reliability and Quality in Design
Pages194-198
Number of pages5
StatePublished - 2012
Event18th ISSAT International Conference on Reliability and Quality in Design - Boston, MA, United States
Duration: 26 Jul 201228 Jul 2012

Publication series

NameProceedings - 18th ISSAT International Conference on Reliability and Quality in Design

Conference

Conference18th ISSAT International Conference on Reliability and Quality in Design
Country/TerritoryUnited States
CityBoston, MA
Period26/07/1228/07/12

Keywords

  • Fault tree analysis
  • Integrated importance measure
  • Multi-state multi-valued decision diagram
  • Multi-state system

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