Result: Reliability analysis of multi-trigger binary systems subject to competing failures

Title:
Reliability analysis of multi-trigger binary systems subject to competing failures
Source:
Reliability engineering & systems safety. 111:9-17
Publisher Information:
Oxford: Elsevier, 2013.
Publication Year:
2013
Physical Description:
print, 23 ref
Original Material:
INIST-CNRS
Subject Terms:
Document Type:
Academic journal Article
File Description:
text
Language:
English
Author Affiliations:
University of Massachusetts, Dartmouth, MA 02747, United States
Collaborative Autonomic Computing Laboratory, School of Computer Science, University of Electronic Science and Technology of China, China
The Israel Electric Corporation, PO Box 10, Haifa 31000, Israel
ISSN:
0951-8320
Rights:
Copyright 2014 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems

Operational research. Management
Accession Number:
edscal.26975079
Database:
PASCAL Archive

Further Information

This paper suggests two combinatorial algorithms for the reliability analysis of multi-trigger binary systems subject to competing failure propagation and failure isolation effects. Propagated failure with global effect (PFGE) is referred to as a failure that not only causes outage to the component from which the failure originates, but also propagates through all other system components causing the entire system failure. However, the propagation effect from the PFGE can be isolated in systems with functional dependence (FDEP) behavior. This paper studies two distinct consequences of PFGE resulting from a competition in the time domain between the failure isolation and failure propagation effects. As compared to existing works on competing failures that are limited to systems with a single FDEP group, this paper considers more complicated cases where the systems have multiple dependent FDEP groups. Analysis of such systems is more challenging because both the occurrence order between the trigger failure event and PFGE from the dependent components and the occurrence order among the multiple trigger failure events have to be considered. Two combinatorial and analytical algorithms are proposed. Both of them have no limitation on the type of time-to-failure distributions for the system components. Their correctness is verified using a Markov-based method. An example of memory systems is analyzed to demonstrate and compare the applications and advantages of the two proposed algorithms.