Component importance-driven reliability optimization for linear consecutive k out of n systems

Hongyan Dui, Shubin Si

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Importance measures in reliability systems are used to identify weak single component or multiple components in contributing to proper functioning of the system. They can be used to analyze the structure optimization with component reliabilities for reconfigurable systems, and solve the system optimization problem for a kind of component assignment problem for the consecutive k out of n systems. In reconfigurable systems, the system structure can be changed by reordering the components. The optimal structure can be determined for any specific combination of system components. For the change of the reliability of specific components, the importance of the corresponding components and the optimal system structure can be found. The relationships between reliability allocation and the importance are studied by building the reliability of the optimal system structure as a function of component reliability. At last, a numerical example is used to demonstrate the proposed method.

Original languageEnglish
Title of host publicationCommunications in Computer and Information Science
PublisherSpringer Verlag
Pages270-284
Number of pages15
DOIs
StatePublished - 2019

Publication series

NameCommunications in Computer and Information Science
Volume1102
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Keywords

  • Importance measures
  • Optimization
  • Reliability systems
  • Structure

Fingerprint

Dive into the research topics of 'Component importance-driven reliability optimization for linear consecutive k out of n systems'. Together they form a unique fingerprint.

Cite this