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Article Dans Une Revue Chinese Journal of Aeronautics Année : 2016

Measuring reliability under epistemic uncertainty: Review on non-probabilistic reliability metrics

Résumé

In this paper, a systematic review of non-probabilistic reliability metrics is conducted to assist the selection of appropriate reliability metrics to model the influence of epistemic uncertainty. Five frequently used non-probabilistic reliability metrics are critically reviewed, i.e., evidence-theory-based reliability metrics, interval-analysis-based reliability metrics, fuzzy-interval-analysis-based reliability metrics, possibility-theory-based reliability metrics (posbist reliability) and uncertainty-theory-based reliability metrics (belief reliability). It is pointed out that a qualified reliability metric that is able to consider the effect of epistemic uncertainty needs to (1) compensate the conservatism in the estimations of the component-level reliability metrics caused by epistemic uncertainty, and (2) satisfy the duality axiom, otherwise it might lead to paradoxical and confusing results in engineering applications. The five commonly used non-probabilistic reliability metrics are compared in terms of these two properties, and the comparison can serve as a basis for the selection of the appropriate reliability metric

Dates et versions

hal-04366290 , version 1 (28-12-2023)

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Citer

Rui Kang, Qingyuan Zhang, Xiaoyang Li, Enrico Zio, Zhiguo Zeng. Measuring reliability under epistemic uncertainty: Review on non-probabilistic reliability metrics. Chinese Journal of Aeronautics, 2016, 29 (3), pp.571-579. ⟨10.1016/j.cja.2016.04.004⟩. ⟨hal-04366290⟩
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