On the use of the importance measure for multi-state repairable k-out-of-n: G systems

Hongyan Dui, Shubin Si, Zhiqiang Cai, Shudong Sun, Yingfeng Zhang

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Importance measures in reliability systems are used to identify weak components in contributing to proper functioning of the system. Traditional importance measures mainly concern the change of the system reliability as the change of the reliability of one component and seldom consider the expected number of repairs of the objective component in unit time. This paper proposes an improvement potential rate importance (IPR) to verify the effectiveness of the improvement in system reliability for multi-state repairable k-out-of-n: G systems. Then the comparisons between IPR and Birnbaum importance are discussed. Finally, a case study is given to demonstrate the proposed IPR. © 2014

Original languageEnglish
Pages (from-to)2766-2781
Number of pages16
JournalCommunications in Statistics - Theory and Methods
Volume43
Issue number13
DOIs
StatePublished - 3 Jul 2014

Keywords

  • Importance measure
  • Improvement
  • Multi-state k-out-of-n: G systems
  • Reliability
  • Repair

Fingerprint

Dive into the research topics of 'On the use of the importance measure for multi-state repairable k-out-of-n: G systems'. Together they form a unique fingerprint.

Cite this