DocumentCode :
3289887
Title :
Approximation of diagnostic importance factors using Markov models for diagnostic test sequencing
Author :
Assaf, Tariq ; Dugan, Joanne Bechta
Author_Institution :
Virginia Univ., Charlottesville, VA, USA
fYear :
2004
fDate :
20-23 Sept. 2004
Firstpage :
241
Lastpage :
247
Abstract :
In this paper we generate diagnostic decision trees for systems that are modeled by dynamic fault trees in order to perform reliability analysis. We base the proposed testing sequence within the diagnostic decision trees on diagnostic importance factors. We derive an approximate diagnostic importance factor measure for components from the Markov chain solution of the dynamic fault tree.
Keywords :
Markov processes; decision trees; fault diagnosis; fault trees; fuel systems; reliability theory; Markov chain; Markov models; diagnostic decision trees; diagnostic importance factor approximation; diagnostic test sequencing; dynamic fault trees; system reliability analysis; Control systems; Decision trees; Fault trees; Fuels; Performance analysis; Performance evaluation; Pressure control; Rails; Regulators; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
AUTOTESTCON 2004. Proceedings
ISSN :
1088-7725
Print_ISBN :
0-7803-8449-0
Type :
conf
DOI :
10.1109/AUTEST.2004.1436841
Filename :
1436841
Link To Document :
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