Estimation of a repairable system reliability

My Elhoussine Ech-chhibat, L. Bahatti, A. Raihani, Ayoub Fentis
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引用次数: 1

Abstract

Maintaining production equipment is a key issue, ensuring optimum productivity and excellent quality of products or services. It is an industrial challenge involving the questioning of today's fixed structures and the promotion of methods adapted to the new nature of materials. The economic performance of a production entity is dependent on the reliability of its equipment, therefore the control of the maintenance policy. To meet these requirements, this paper proposes a structured methodology based on powerful probability laws that describe the behavior of an equipment; recent statistics laws to evaluate the parameters. The SVR (Support Vector Regression) method is used to identify the parameters of Weibull law of; consequently, the degradation law control of a good allows to react at the opportune moment.
可修系统可靠性的估计
维护生产设备是一个关键问题,以确保最佳的生产力和卓越的产品或服务质量。这是一项工业挑战,涉及对当今固定结构的质疑和促进适应材料新性质的方法。生产实体的经济效益取决于其设备的可靠性,因此维护策略的控制。为了满足这些要求,本文提出了一种基于描述设备行为的强大概率定律的结构化方法;最近统计规律来评估参数。采用支持向量回归(SVR)方法识别Weibull律的参数;因此,良好的降解律控制可以在适当的时机作出反应。
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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