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Fuzzy probist reliability assessment of repairable systems

机译:可修复系统的模糊概率可靠性评估

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In conventional reliability assessment, the reliability data of system components are treated as crisp values. However, reliability analysis often makes use of uncertain data and approximate system modelling. Hence fuzzy formulation represents an effective tool for reliability analysis. This paper proposes a methodology for the reliability analysis of repairable systems using the fault tree model and triangular fuzzy numbers for the basic events data. A computer code is developed for estimating the reliability measures of the system. A numerical example illustrating the method is provided.
机译:在传统的可靠性评估中,系统组件的可靠性数据被视为清晰的值。然而,可靠性分析通常利用不确定的数据和近似系统建模。因此,模糊制剂代表了可靠性分析的有效工具。本文提出了一种使用故障树模型的可靠性系统可靠性分析的方法,以及用于基本事件数据的三角模糊数。开发了一种用于估计系统可靠性测量的计算机代码。提供了说明该方法的数值示例。

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