MARKOV CHAIN-BASED STUDY OF INFORMATION RISKS OF ELECTROLYZER SAFE OPERATION
https://doi.org/10.21285/1814-3520-2018-5-83-96
Abstract
The PURPOSE of the paper is to develop a diagnostic model of the electrolysis process in order to organize its safe operation based on a fuzzy Markov chain for assessing the level of information risks. METHODS. The methods used in the research include mathematical modeling and simulation modeling. RESULTS. The fuzzy Markov chain has been examined in order to evaluate the state of the aluminum electrolysis process. Graph nodes corresponding to the system states are characterized by the risk indicators. The latter can be determined as the degree of the fuzzy congruence between the desired and real indicators of system operation. CONCLUSION. The proposed approach can be used to predict the system failure rate for a particular implementation of the information system hardware setup. This will allow to construct a system design technology taking into account the modeling results when formulating requirements for software and hardware resources and finally will enable to select the hardware resources.
About the Authors
A. B. Diallo
Tver State Technical University
Russian Federation
Russian Federation
D. T. Dim
Tver State Technical University
Russian Federation
Russian Federation
S. R. Bakasov
Tver State Technical University
Russian Federation
Russian Federation
A. E. Prorokov
Novomoskovsk Institute of Mendeleev Russian Chemical and Technological University
Russian Federation
Russian Federation
V. N. Bogatikov
Tver State Technical University
Russian Federation
Russian Federation
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Review
For citations:
Diallo A.B., Dim D.T., Bakasov S.R., Prorokov A.E., Bogatikov V.N. MARKOV CHAIN-BASED STUDY OF INFORMATION RISKS OF ELECTROLYZER SAFE OPERATION. Proceedings of Irkutsk State Technical University. 2018;22(5):83-96. (In Russ.) https://doi.org/10.21285/1814-3520-2018-5-83-96
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