Reliability modelling and assessment by joint consideration of Petri nets and gamma deterioration processes

Grâce Boyer, N. Brînzei, P. Do, J. Pétin
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引用次数: 2

Abstract

This article develops a new approach that integrates the gamma processes in Petri nets for modeling stochastic deterioration. In the area of reliability, it was shown that gamma processes are able to describe the physical degradation of components and, so, their importance in safety evaluation has been proved by many previous researches. First, a mathematical overview of the gamma process is given along with basic examples. Furthermore, a model of the gamma process on the basis of Petri nets is developed followed by an estimation of the remaining useful life (RUL) and the reliability of a single component. In this work, we propose to consider two cases for the estimation of the RUL: with and without knowledge of the level of degradation. Due to the knowledge of the degradation level, the evaluation of the reliability can be different and results are compared between them. Finally, a discussion about the application of both gamma process and Petri nets for describing the system behavior and its reliability assessment is presented explaining the value of the model in the current and the future industrial problems.
联合考虑Petri网和伽玛退化过程的可靠性建模和评估
本文提出了一种将Petri网中的伽马过程集成到随机退化模型中的新方法。在可靠性方面,研究表明伽马过程能够描述部件的物理退化,因此,其在安全性评估中的重要性已被许多先前的研究证明。首先,给出了伽玛过程的数学概述以及基本的例子。此外,开发了基于Petri网的伽马过程模型,然后对剩余使用寿命(RUL)和单个组件的可靠性进行了估计。在这项工作中,我们建议考虑两种情况来估计RUL:有和没有退化水平的知识。由于对退化程度的了解,对可靠性的评估可以有所不同,并可以对结果进行比较。最后,讨论了伽玛过程和Petri网在描述系统行为及其可靠性评估中的应用,并解释了该模型在当前和未来工业问题中的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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