Evaluation of the reliability of a temperature control system using the Markov process
This article presents the assessment of the operational safety of a dynamic system using a Markov process. Characteristic parameters such as MTTF, MTTR, and system availability are obtained. Based on the hybrid stochastic automaton that models the temperature control system of an oven, its normal operating states and failure states are merged to obtain the Markov graph. Failure and repair rates are used, as well as the probabilities of being in a good operating state or a failure state. The results were compared with those obtained by Monte Carlo simulation of the hybrid stochastic automaton and were satisfactory.
Evaluation of the reliability of a temperature control system using the Markov process
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DOI: https://doi.org/10.22533/at.ed.3175825011010
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Palavras-chave: Markov process, hybrid stochastic automaton, exponential law, reliability, operational safety.
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Keywords: Markov process, hybrid stochastic automaton, exponential law, reliability, operational safety.
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Abstract:
This article presents the assessment of the operational safety of a dynamic system using a Markov process. Characteristic parameters such as MTTF, MTTR, and system availability are obtained. Based on the hybrid stochastic automaton that models the temperature control system of an oven, its normal operating states and failure states are merged to obtain the Markov graph. Failure and repair rates are used, as well as the probabilities of being in a good operating state or a failure state. The results were compared with those obtained by Monte Carlo simulation of the hybrid stochastic automaton and were satisfactory.
- Gabriel Antonio Pérez Castañeda
- Jesús Raymundo Flores Cabrera
- Miguel Villano Arellano
- Víctor Sandoval Adán
- Nicolae Brinzei
- Jean-François Aubry