Advances in system reliability analysis under uncertainty

Chao Hu, Pingfeng Wang, Byeng D. Youn

Research output: Chapter in Book/Report/Conference proceedingChapter


In order to ensure high reliability of complex engineered systems against deterioration or natural and man-made hazards, it is essential to have an efficient and accurate method for estimating the probability of system failure regardless of different system configurations (series, parallel, and mixed systems). Since system reliability prediction is of great importance in civil, aerospace, mechanical, and electrical engineering fields, its technical development will have an immediate and major impact on engineered system designs. To this end, this chapter presents a comprehensive review of advanced numerical methods for system reliability analysis under uncertainty. Offering excellent in-depth knowledge for readers, the chapter provides insights on the application of system reliability analysis methods to engineered systems and gives guidance on how we can predict system reliability for series, parallel, and mixed systems. Written for the professionals and researchers, the chapter is designed to awaken readers to the need and usefulness of advanced numerical methods for system reliability analysis.

Original languageEnglish (US)
Title of host publicationNumerical Methods for Reliability and Safety Assessment
Subtitle of host publicationMultiscale and Multiphysics Systems
Number of pages33
ISBN (Electronic)9783319071671
ISBN (Print)9783319071664
StatePublished - Jan 1 2015
Externally publishedYes

ASJC Scopus subject areas

  • General Engineering
  • General Physics and Astronomy
  • General Mathematics


Dive into the research topics of 'Advances in system reliability analysis under uncertainty'. Together they form a unique fingerprint.

Cite this