Belief reliability-based design optimization method with quantile index under epistemic uncertainty

• Autorzy: Chen Yubing , Wen Meilin , Zhang Qingyuan , Kang Rui

Identyfikatory

DOI

10.17531/ein/163545

• Języki publikacji: EN

Abstrakty

EN

Product reliability design optimization is affected by epistemic uncertainty greatly, which leaves significant risks in product use. In this paper, a new belief reliability-based design optimization (BRBDO) method under epistemic uncertainty is established to handle this problem. First, the belief reliability theory is introduced into the design optimization problem, and a quantile index is proposed to quantify belief reliability level based on uncertainty theory, through which a rapid analysis method called first order belief reliability analysis (FOBRA) method is developed. Then, according to the different trade-off strategies, two types of design optimization models are established, and corresponding FOBRA-based computation methods are also demonstrated. Finally, several case applications are studied to verify the effectiveness of the analysis and design optimization methods proposed in this paper. The results indicate that the BRODO method with the quantile index can save a lot of computational time with acceptable accuracy and can rationally cope with epistemic uncertainty.

Słowa kluczowe

EN

belief reliability; reliability design optimization; epistemic uncertainty; quantile index; uncertainty theory

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2023
• Tom: Vol. 25, no. 2
• Strony: art. no. 163545
• Opis fizyczny: Bibliogr. 36 poz., rys., tab., wykr.

Twórcy

autor

Chen Yubing

• School of Reliability and Systems Engineering, Beihang University, China
• Science and Technology on Reliability and Environmental Engineering Laboratory, Beihang University, China

autor

Wen Meilin

• School of Reliability and Systems Engineering, Beihang University, China
• Science and Technology on Reliability and Environmental Engineering Laboratory, Beihang University, China

• https://orcid.org/0000-0002-0819-2647

autor

Zhang Qingyuan

• Science and Technology on Reliability and Environmental Engineering Laboratory, Beihang University, China
• School of Aeronautic Science and Engineering, Beihang University, China

• https://orcid.org/0000-0001-8680-2095

autor

Kang Rui

• School of Reliability and Systems Engineering, Beihang University, China
• Science and Technology on Reliability and Environmental Engineering Laboratory, Beihang University, China

• https://orcid.org/0000-0002-4488-6574

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