Reliability analysis of multi-state systems with common cause failures based on Bayesian network and fuzzy probability

DOI10.1007/s10479-019-03247-6zbMath1492.60251OpenAlexW2944417109WikidataQ127920483 ScholiaQ127920483MaRDI QIDQ2115807

Yan-Feng Li, Xiaomeng Han, Hong-Zhong Huang, Jinhua Mi, Weiwen Peng

Publication date: 21 March 2022

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-019-03247-6

zbMATH Keywords

fuzzy probabilityreliability analysisBayesian networkmulti-state systemscommon cause failures

Mathematics Subject Classification ID

Reliability, availability, maintenance, inspection in operations research (90B25) Theory of fuzzy sets, etc. (03E72) Artificial intelligence (68T99) Applications of renewal theory (reliability, demand theory, etc.) (60K10) Reliability and life testing (62N05)

Related Items (3)

Bayesian prior information fusion for power law process via evidence theory ⋮ Reliability analysis and optimization for a redundant system with dependent failures and variable repair rates ⋮ Intuitionistic fuzzy approach to reliability assessment of multi-state systems

Cites Work

• Unnamed Item
• Unnamed Item
• Fusion, propagation, and structuring in belief networks
• Fuzzy universal generating functions for multi-state system reliability assessment
• Multivalued state component systems
• Multistate Markov Models and Structural Properties of the Transition-Rate Matrix
• Multistate coherent systems
• Coherent Systems with Multi-State Components
• Semi-Markov processes and reliability

This page was built for publication: Reliability analysis of multi-state systems with common cause failures based on Bayesian network and fuzzy probability