DEVELOPMENT ISSUES IN ALGORITHMS FOR SYSTEM LEVEL SELF-DIAGNOSIS

DEVELOPMENT ISSUES IN ALGORITHMS FOR SYSTEM LEVEL SELF-DIAGNOSIS

The paper deals with the problem of developing probabilistic algorithm for system level self-diagnosis. The main goal of the suggested algorithm is to minimize the mean time of its executing. The algorithm is based on the computing of the posterior probability of fault-free state of each system uni...

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Bibliographic Details
Main Authors: Victor Mashkov, Andrzej Smolarz, Volodymyr Lytvynenko
Format: Article
Language:English
Published: Lublin University of Technology 2016-02-01
Series:Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Subjects:
complex systems
self-diagnosis
probabilistic algorithm
decision rule
Online Access:https://ph.pollub.pl/index.php/iapgos/article/view/1158

Internet

https://ph.pollub.pl/index.php/iapgos/article/view/1158

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