Imprecise system reliability using the survival signature
Imprecise system reliability using the survival signature
复制标题
使用生存签名的系统可靠性不精确
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Gm Gero Walter
中科院分区：
文献类型：
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作者：
F. Coolen;T. Coolen;L. Aslett;Gm Gero Walter
引入生存特征是为了简化由不同类型的部件组成的系统的可靠性量化，其中至少有一种类型的多个部件。生存签名对系统签名进行了推广，在理论可靠性文献中引起了很大的兴趣，但由于它只能用于具有单一类型组件的系统，因此实用价值有限。生存特征的不确定性量化的关键属性，与特征一致，是系统结构和系统组件失效时间的完全分离。这对于基于组件故障时间的系统可靠性的统计推断特别有用。本文简要介绍了生存签名及其在系统可靠性统计推断中的应用。我们展示了广义贝叶斯方法和非参数预测推理的应用，这两种推理方法都使用不精确的概率来量化不确定性，其中不精确反映了可用信息的数量。论文最后讨论了相关的研究挑战。
The survival signature has been introduced to simplify quantification of reliability of systems which consist of components of different types, with multiple components of at least one of these types. The survival signature generalizes the system signature, which has attracted much interest in the theoretical reliability literature but has limited practical value as it can only be used for systems with a single type of components. The key property for uncertainty quantification of the survival signature, in line with the signature, is full separation of aspects of the system structure and failure times of the system components. This is particularly useful for statistical inference on the system reliability based on component failure times. This paper provides a brief overview of the survival signature and its use for statistical inference for system reliability. We show the application of generalized Bayesian methods and nonparametric predictive inference, both these inference methods use imprecise probabilities to quantify uncertainty, where imprecision reflects the amount of information available. The paper ends with a discussion of related research challenges.