Reliability and performance of multi-state systems with propagated failures having selective effect

The paper presents an algorithm for evaluating performance distribution of complex series-parallel multi-state systems with common cause failures caused by propagation of failures in system elements. The failure propagation can have a selective effect, which means that the failures originated from d...

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Veröffentlicht in:Reliability engineering & system safety Jg. 95; H. 6; S. 655 - 661
Hauptverfasser: Levitin, Gregory, Xing, Liudong
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Elsevier Ltd 01.06.2010
Elsevier
Schlagworte:
Agglomeration
Algorithms
Applied sciences
Block diagrams
Common cause failures
Equivalence
Exact sciences and technology
Failure
Multi-state system
Operational research and scientific management
Operational research. Management science
Performance evaluation
Propagated failures
Recursive
Reliability block diagram
Reliability theory. Replacement problems
Selective effect
Universal generating function
Common cause failures
Selective effect
RBD
UGF
PF
CCF
pmf
Universal generating function
Reliability block diagram
Multi-state system
MSS
Propagated failures
Performance evaluation
Function block diagram
Rupture
Diagrammatic method
State space
Replacement
Series system
Failures
Aggregation
Dependence
Recursive method
Reliability
ISSN:0951-8320, 1879-0836
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:The paper presents an algorithm for evaluating performance distribution of complex series-parallel multi-state systems with common cause failures caused by propagation of failures in system elements. The failure propagation can have a selective effect, which means that the failures originated from different elements can cause failures of different subsets of system elements. The suggested algorithm is based on the universal generating function approach and a generalized reliability block diagram method (recursive aggregation of pairs of elements and their replacement by an equivalent one). The performance distribution evaluation procedure is repeated for each combination of common cause failures. Illustrative examples are provided.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0951-8320
1879-0836
DOI:10.1016/j.ress.2010.02.003