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A reliability decision framework for multiple repairable units

机译：多个可维修单元的可靠性决策框架

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In practice, the analyst is often dealing with multiple repairable units, installed in different positions or functioning under different operating conditions, and maintained by different disciplines. This paper presents a decision framework to identify an appropriate reliability model for massive multiple repairable units. It splits non-homogeneous failure data into homogeneous groups and classifies them based on their failure trends using statistical tests. The framework discusses different scenarios for analysing multiple repairable units, according to trend, intensity, and dependency of the units' failure data. The proposed framework has been verified in a fleet of aircraft and in two simulated data sets. The results show a reliability model of multiple repairable units may contain a mixture of different stochastic models. Considering single reliability models for such populations may cause erroneous calculation of the time to failure of a particular unit, which can, in turn, lead to faulty conclusions and decisions. When dealing with massive and non-homogeneous multiple repairable units, the application of the proposed framework can facilitate the selection of an appropriate reliability model. (C) 2016 Elsevier Ltd. All rights reserved.
机译：在实践中，分析人员通常要处理多个可维修单元，这些可维修单元安装在不同的位置或在不同的操作条件下运行，并且由不同的学科维护。本文提出了一个决策框架，用于为大型多个可修复单元确定合适的可靠性模型。它将非均质故障数据划分为同类组，并使用统计测试根据其故障趋势对它们进行分类。该框架根据趋势，强度和单元故障数据的依赖性，讨论了用于分析多个可修复单元的不同方案。所提出的框架已在飞机机队和两个模拟数据集中得到验证。结果表明，多个可修复单元的可靠性模型可能包含不同随机模型的混合。考虑针对此类总体的单一可靠性模型可能会导致对特定单元失效时间的错误计算，从而可能导致错误的结论和决策。当处理大量且非均质的多个可修复单元时，所提出框架的应用可以帮助选择合适的可靠性模型。 （C）2016 Elsevier Ltd.保留所有权利。

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