Importance measure-based maintenance strategy considering maintenance costs

• Autorzy: Zhang Chao , Zhang Yadong , Dui Hongyan , Wang Shaoping , Tomovic Mileta M.

Identyfikatory

DOI

10.17531/ein.2022.1.3

• Języki publikacji: EN

Abstrakty

EN

Maintenance is an important way to ensure the best performance of repairable systems. This paper considers how to reduce system maintenance cost while ensuring consistent system performance. Due to budget constraints, preventive maintenance (PM) can be done on only some of the system components. Also, different selections of components to be maintained can have markedly different effects on system performance. On the basis of the above issues, this paper proposes an importance-based maintenance priority (IBMP) model to guide the selection of PM components. Then the model is extended to find the degree of correlation between two components to be maintained and a joint importance-based maintenance priority (JIBMP) model to guide the selection of opportunistic maintenance (OM) components is proposed. Also, optimization strategies under various conditions are proposed. Finally, a case of 2H2E architecture is used to demonstrate the proposed method. The results show that generators in the 2E layout have the highest maintenance priority, which further explains the difference in the importance of each component in PM.

Słowa kluczowe

EN

system reliability; importance measure; maintenance cost; preventive maintenance; opportunistic maintenance

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2022
• Tom: Vol. 24, no. 1
• Strony: 15--24
• Opis fizyczny: Bibliogr. 31 poz., rys., tab.

Twórcy

autor

Zhang Chao

• Beihang University, School of Automation Science and Electrical Engineering, Beijing 100191, China
• Beihang University, Research Institute for Frontier Science, Beijing 100191, China
• Beihang University, Ningbo Institute of Technology, Ningbo 315800, China

• https://orcid.org/0000-0001-9054-5132

autor

Zhang Yadong

• Beihang University, School of Automation Science and Electrical Engineering, Beijing 100191, China
• Beihang University, Ningbo Institute of Technology, Ningbo 315800, China

• https://orcid.org/0000-0003-0133-9009

autor

Dui Hongyan

• Zhengzhou University School of Management Engineering, Zhengzhou 450001, China

autor

Wang Shaoping

• Beihang University, School of Automation Science and Electrical Engineering, Beijing 100191, China
• Beihang University, Ningbo Institute of Technology, Ningbo 315800, China

• https://orcid.org/0000-0002-8102-3436

autor

Tomovic Mileta M.

• Old Dominion University, Engineering Technology Department, Norfolk, VA 23529, USA

Bibliografia

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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).