DEVELOPMENT ISSUES IN ALGORITHMS FOR SYSTEM LEVEL SELF-DIAGNOSIS

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Published: Feb 4, 2016
DOI: https://doi.org/10.5604/20830157.1194261
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DOI

https://doi.org/10.5604/20830157.1194261

Authors

Victor Mashkov

viktor.mashkov@ujep.cz

University J.E. Purkyne, Usti nad Labem, Czech Republic, Czechia
Andrzej Smolarz

a.smolarz@pollub.pl

Lublin University of Technology, Institute of Electronics & Information Technology, Lublin, Poland, Poland
Volodymyr Lytvynenko

immun56@gmail.com

Kherson National Technical University, Department of Informatics & Computing Technology, Kherson, Ukraine, Ukraine

Abstract

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 unit. Final decision about unit’s state is made on the chosen decision rule. The execution of the probabilistic algorithm is elucidated with the help of simple example and then explained for the case of more complex systems.

Keywords:

complex systems, self-diagnosis, probabilistic algorithm, decision rule

References

Article Details

Mashkov, V. ., Smolarz, A., & Lytvynenko, V. . (2016). DEVELOPMENT ISSUES IN ALGORITHMS FOR SYSTEM LEVEL SELF-DIAGNOSIS. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 6(1), 26–28. https://doi.org/10.5604/20830157.1194261