Bayesian Networks for Frequency Analysis in Dependability

Bayesian Networks for Frequency Analysis in Dependability The high suppleness of Bayesian networks has led to their wide application in a variety of dependability modeling and analysis problems. The main objective of this paper is to extend the use of such powerful tool to estimate the occurrence frequency of failures and consequences in a straightforward way. Such extension is based on the employment of a transformation operator to substitute the original terms with matrices that hold the full dependability description of the corresponding element. Two simple case studies in reliability and safety contexts are treated using the suggested method whose results are validated through their comparison to the corresponding results of other classical dependability techniques. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Failure Analysis and Prevention Springer Journals

Bayesian Networks for Frequency Analysis in Dependability

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Publisher
Springer US
Copyright
Copyright © 2018 by ASM International
Subject
Materials Science; Tribology, Corrosion and Coatings; Characterization and Evaluation of Materials; Classical Mechanics; Structural Mechanics; Quality Control, Reliability, Safety and Risk
ISSN
1547-7029
eISSN
1864-1245
D.O.I.
10.1007/s11668-018-0433-5
Publisher site
See Article on Publisher Site

Abstract

The high suppleness of Bayesian networks has led to their wide application in a variety of dependability modeling and analysis problems. The main objective of this paper is to extend the use of such powerful tool to estimate the occurrence frequency of failures and consequences in a straightforward way. Such extension is based on the employment of a transformation operator to substitute the original terms with matrices that hold the full dependability description of the corresponding element. Two simple case studies in reliability and safety contexts are treated using the suggested method whose results are validated through their comparison to the corresponding results of other classical dependability techniques.

Journal

Journal of Failure Analysis and PreventionSpringer Journals

Published: Mar 5, 2018

References

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