Research on maintenance decision-making approach based on dynamic opportunistic window

• Autorzy: Baoshan Zhang , Guo Jilian , Zhou Zhangwen , Wang Xuan , Liu Xiaoxin

Identyfikatory

DOI

10.17531/ein/191515

• Języki publikacji: EN

Abstrakty

EN

We have developed a maintenance decision-making approach based on dynamic opportunistic window (OW), utilizing algorithms such as k-mean clustering, expected maximum and parameter estimation to address the lack of a reasonable basis for the duration and divided number of OWs in current maintenance decision-making. Firstly, we have comprehensively summarized the multi-stage opportunistic maintenance (OM) decision-making approach, with a particular focus on its current strengths and limitations. Secondly, the modeling concept of the dynamic OW is analyzed, and the underlying assumptions are established. Furthermore, it elaborates on the theoretical foundation of the maintenance decision-making approach based on the dynamic OW through a detailed modeling process. Finally, we validate the proposed model by conducting experiments on tandem components from the main combustion chamber in an aero-engine. The experimental results demonstrate the significant value of the proposed maintenance decision-making approach based on dynamic OW in enhancing equipment reliability and optimizing maintenance support resources.

Słowa kluczowe

EN

predictive maintenance; expectation maximization; reliability estimation; opportunistic maintenance

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2024
• Tom: Vol. 26, no. 4
• Strony: art. no. 191515
• Opis fizyczny: Bibliogr. 15 poz., rys., tab., wykr.

Twórcy

autor

Baoshan Zhang

• Air force Engineering University, China

autor

Guo Jilian

• Air force Engineering University, China

autor

Zhou Zhangwen

• Air force Engineering University, China

autor

Wang Xuan

• Baoji Titanium Industry Co., Ltd, China

autor

Liu Xiaoxin

• Air force Engineering University, China

Bibliografia

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• 3. Zhao, Baorong, et al. "Research on opportunistic maintenance strategy of series system considering fault correlation and component importance." QR2MSE 2022， 2022，pp. 642-647, https://10.1049/icp.2022.2937.
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• 12. Yang, Xiuzhen, et al. "Mission Reliability-centered Opportunistic Maintenance Approach for Multistate Manufacturing Systems." Reliability Engineering & System Safety, vol. 241, 2023, pp. 109693, https://doi.org/10.1016/j.ress.2023.109693.
• 13. Xia, Tangbin, et al. "Dynamic Maintenance Decision-making for Series–Parallel Manufacturing System Based on MAM–MTW Methodology." European Journal of Operational Research, vol. 221, 2012, pp. 231-240, https://doi.org/10.1016/j.ejor.2012.03.027.
• 14. Liu, Gehui, et al. "Optimum Opportunistic Maintenance Schedule Incorporating Delay Time Theory with Imperfect Maintenance." Reliability Engineering & System Safety, vol. 213, 2021, p. 107668, https://doi.org/10.1016/j.ress.2021.107668.
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