Testing and preventive maintenance scheduling optimization for aging systems modeled by generalized renewal process

Pesquisa Operacional

Vinícius Correa Damaso²  Pauli Adriano De Almada Garcia¹ 

[1] ,Centro Tecnológico do ExércitoRio de Janeiro RJ

关键词: availability;    generalized renewal process;    genetic algorithms;    disponibilidade;    processo de renovação generalizado;    algoritmos genéticos;   

DOI  :  10.1590/S0101-74382009000300006

来源: SciELO

【 摘 要 】

The use of stochastic point processes to model the reliability of repairable systems has been a regular approach to establish survival measures in failure versus repair scenarios. However, the traditional processes do not consider the actual state in which an item returns to operational condition. The traditional renewal process considers an "as-good-as-new" philosophy, while a non-homogeneous Poisson process is based on the minimal repair concept. In this work, an approach based on the concept of Generalized Renewal Process (GRP) is presented, which is a generalization of the renewal process and the non-homogeneous Poisson process. A stochastic modeling is presented for systems availability analysis, including testing and/or preventive maintenances scheduling. To validate the proposed approach, it was performed a case study of a hypothetical auxiliary feed-water system of a nuclear power plant, using genetic algorithm as optimization tool.

【 授权许可】

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