A comparative analysis of dependability assessment methodologies for markovian and non-markovian systems

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2002

Autores

Eusébio Nunes (Autor) Outra; José António Faria (Autor) FEUP; Manuel Matos (Autor) FEUP

Ata de Conferência Internacional

Título: Proceedings ESREL 2002 - European Safety and Reliability Conference

Lyon

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Outras ciências da engenharia e tecnologias

Outras Informações

Abstract (EN): This paper presents a comparative analysis of several reliability evaluation methodologies for discrete-state markovian, semi-markovian, and non-markovian systems, and discusses the situations where the use of each one of these approaches seems to be the more appropriate one. The first part of the paper reviews these three classes of systems, along with the mathematical foundations of the corresponding evaluation methodologies. The emphasis is put on continuous Markov processes and embedded Markov chains, respectively, for markovian and semi-markovian systems. For non-markovian systems, the device of stages and the DepCim methodologies will be introduced together with the Monte Carlo simulation techniques. The second part of the paper analyses the error introduced in the reliability indexes when the system under study contains non-exponential but, for evaluation purposes, is adopted the usual assumption that the systems has a markovian behaviour pattern, i.e. all their processes have exponential distributions so that the transition rates between states are constant. In the final part of the paper, a set of heuristic rules will be proposed allowing to foresee, from the structure of the models and the distributions of their individual processes, the situations where the error is more likely to be significant, so that a non-markovian evaluation methodology should be employed.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 8