Reliability assessment for micro inertial measurement unit based on accelerated degradation data and copula theory

• Autorzy: Chi Bingjia , Wang Yashun , Hu Jingwen , Zhang Shufeng , Chen Xun

Identyfikatory

DOI

10.17531/ein.2022.3.16

• Języki publikacji: EN

Abstrakty

EN

With its extensive use in industry, assessing the reliability of the micro inertial measurment unit (MIMU) has become a pressing need. Unfortunately, the MIMU is made up of several components, and the degradation processes of each are intertwined, making it difficult to assess the MIMU’s reliability and remaining useful life. In this research, we offer a reliability assessment approach for the MIMU, which has long-lifetime and multiple performance characteristics (PCs), based on accelerated degradation data and copula theory.Each PC model of MIMU is constructed utilizing drift Brownian motion to depict accelerated degradation process. The copula function is used to model the multivariate dependent accelerated degradation test data and to describe the dependency between multiple MIMU performance parameters. The particle swarm optimization algorithm is used to estimate the unknown parameters in the multi-dependent ADT model. Finally, the storage test and simulation example on MIMU’s accelerated degradation data verify the feasibility and effectiveness of the proposed method.

Słowa kluczowe

EN

MIMU; Wiener process; accelerated degradation test; copula; reliability assessment

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2022
• Tom: Vol. 24, no. 3
• Strony: 554--563
• Opis fizyczny: Bibliogr. 35 poz., rys., tab.

Twórcy

autor

Chi Bingjia

• National University of Defense Technology, Laboratory of Science and Technology on Integrated Logistics Support, College of Intelligence Science and Technology, Yanwachi str., Changsha, 410073, Hunan, China
• National University of Defense Technology, Laboratory of Science and Technology on Integrated Logistics Support, Changsha, 410073, China

• https://orcid.org/0000-0003-4589-3511

autor

Wang Yashun

• National University of Defense Technology, Laboratory of Science and Technology on Integrated Logistics Support, College of Intelligence Science and Technology, Yanwachi str., Changsha, 410073, Hunan, China
• National University of Defense Technology, Laboratory of Science and Technology on Integrated Logistics Support, Changsha, 410073, China

• https://orcid.org/0000-0001-6766-6139

autor

Hu Jingwen

• National University of Defense Technology, Laboratory of Science and Technology on Integrated Logistics Support, College of Intelligence Science and Technology, Yanwachi str., Changsha, 410073, Hunan, China
• National University of Defense Technology, Laboratory of Science and Technology on Integrated Logistics Support, Changsha, 410073, China

• https://orcid.org/0000-0002-3708-8654

autor

Zhang Shufeng

• National University of Defense Technology, Laboratory of Science and Technology on Integrated Logistics Support, College of Intelligence Science and Technology, Yanwachi str., Changsha, 410073, Hunan, China
• National University of Defense Technology, Laboratory of Science and Technology on Integrated Logistics Support, Changsha, 410073, China

• https://orcid.org/0000-0002-9252-2986

autor

Chen Xun

• National University of Defense Technology, Laboratory of Science and Technology on Integrated Logistics Support, College of Intelligence Science and Technology, Yanwachi str., Changsha, 410073, Hunan, China
• National University of Defense Technology, Laboratory of Science and Technology on Integrated Logistics Support, Changsha, 410073, China

• https://orcid.org/0000-0003-2657-518X

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).