Comparative Analysis of Stochastic and Uncertain Process Degradation Modeling Based on RQRL

• Autorzy: Liu Kai , Zou Tianji , Xin Mincheng

Identyfikatory

DOI

10.17531/ein/186823

• Języki publikacji: EN

Abstrakty

EN

Small sample sizes cause epistemic uncertainties in reliability estimation and even result in potential risks in maintenance strategies. To explore the difference between stochastic- and uncertain-process-based degradation modeling in reliability estimation for small samples, this study proposes a comparative analysis methodology based on the range of quantile reliable lifetime (RQRL). First, considering both unit-to-unit variability and epistemic uncertainty, we proposed the Wiener and Liu process degradation models. Second, based on the RQRL, a comparative analysis method of different degradation models for reliability estimation under various sample sizes and measurement times was proposed. Third, based on a case study, the sensitivities of the Wiener and Liu process degradation models for various sample sizes and measurement times were compared and analyzed based on the RQRL. The results demonstrated that using the uncertain process degradation model improved the uniformity and stability of reliability estimation under small-sample conditions.

Słowa kluczowe

EN

degradation modeling; epistemic uncertainty; uncertain process; stochastic process; reliability estimation

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2024
• Tom: Vol. 26, no. 3
• Strony: art. no. 186823
• Opis fizyczny: Bibliogr. 43 poz., tab., wykr.

Twórcy

autor

Liu Kai

• Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, China

• https://orcid.org/0000-0003-4602-8853

autor

Zou Tianji

• Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, China
• University of Chinese Academy of Sciences, Chinese Academy of Sciences, China

• https://orcid.org/0009-0004-3817-1435

autor

Xin Mincheng

• Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, China

Bibliografia

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