DEVELOPMENT ISSUES IN ALGORITHMS FOR SYSTEM LEVEL SELF-DIAGNOSIS
Victor Mashkov
viktor.mashkov@ujep.czUniversity J.E. Purkyne, Usti nad Labem, Czech Republic (Czechia)
Andrzej Smolarz
Lublin University of Technology, Institute of Electronics & Information Technology, Lublin, Poland (Poland)
Volodymyr Lytvynenko
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 ruleReferences
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Authors
Victor Mashkovviktor.mashkov@ujep.cz
University J.E. Purkyne, Usti nad Labem, Czech Republic Czechia
Authors
Andrzej SmolarzLublin University of Technology, Institute of Electronics & Information Technology, Lublin, Poland Poland
Authors
Volodymyr LytvynenkoKherson National Technical University, Department of Informatics & Computing Technology, Kherson, Ukraine Ukraine
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