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Graphs and algoebra of words

机译:图形和单词代数

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摘要

An exponential approximation to estimate the reliability of large repairable systems, modeled by Markov-graph, was proposed a few years ago by J-L.Bon and J.Collec [1]. This approximation requires the computation of some sojourn times and the asymptotic probability of going from the perfect-operation state to the system-failure state. In order to compute this probability, an algorithm called SRI (french acronym for Sequences sans Retour vers l'etat Initial), suitable for semi-Markov Processes, was developed. The algorithm presents the particularity of exploring the Markov-graph sequences without exploring circuits but the computations take these circuits into account with asymptotic probabilites. This paper presents a generalisation of this algorithm in an algebraic context using Automata theory conepts.
机译:几年前,由J-L.Bon和J.Collec提出了一种用Markov-graph建模的指数可近似估计大型可修复系统的可靠性的方法。这种近似需要计算一些停顿时间和从理想运行状态到系统失效状态的渐近概率。为了计算这种可能性,开发了一种适用于半马尔可夫过程的称为SRI(无首字母顺序的法语缩写)的算法。该算法提出了无需探索电路就探索马尔可夫图序列的特殊性,但计算中考虑了这些电路的渐近概率。本文介绍了使用自动机理论概念在代数上下文中该算法的一般化。

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