Resumen

PEREZ CASTANEDA, GABRIEL ANTONIO; AUBRY, JEAN-FRANÇOIS  y  BRINZEI, NICOLAE. STOCHASTIC HYBRID AUTOMATON AND MONTE CARLO SIMULATION FOR THE DEPENDABILITY PREDICTION OF A DYNAMIC SYSTEM. Dyna rev.fac.nac.minas [online]. 2011, vol.78, n.165, pp.276-286. ISSN 0012-7353.

A dynamic hybrid system is described by a set of continuous variables and a set of discrete events interacting together. Some events or variables take a stochastic character. Therefore, it is necessary to taking into account component failures or uncertainties on knowledge on the system. In this paper is presented the evaluation of dependability parameters by Monte Carlo simulation in a context of dynamic reliability. For this, the system is modeled by a stochastic hybrid automaton which has been previously formally defined. This approach is illustrated on a test case represented by the regulation temperature system of an oven.

Palabras clave : dynamic reliability; stochastic hybrid automaton; Monte Carlo simulation; dependability.

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