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Performance Degradation Based on Importance Change and Application in Dissimilar Redundancy Actuation System

Author

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  • Yadong Zhang

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

  • Chao Zhang

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

  • Shaoping Wang

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

  • Rentong Chen

    (School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
    Energy Department, Politecnico di Milano, Via La Masa 34, 20156 Milano, Italy)

  • Mileta M. Tomovic

    (Engineering Technology Department, Old Dominion University, Norfolk, VA 23529, USA)

Abstract

The importance measure is a crucial method to identify and evaluate the system weak link. It is widely used in the optimization design and maintenance decision of aviation, aerospace, nuclear energy and other systems. The dissimilar redundancy actuation system (DRAS) is a key aircraft control subsystem which performs aircraft attitude and flight trajectory control. Its performance and reliability directly affect the aircraft flight quality and flight safety. This paper considers the influence of the Birnbaum importance measure (BIM) and integrated importance measure (IIM) on the reliability changes of key components in DRAS. The differences of physical fault characteristics of different components due to performance degradation and power mismatch, are first considered. The reliability of each component in the system is then estimated by assuming that the stochastic degradation process of the DRAS components follows an inverse Gaussian (IG) process. Finally, the weak links of the system are identified using BIM and IIM, so that the resources can be reasonably allocated to the weak links during the maintenance period. The proposed method can provide a technical support for personnel maintenance, in order to improve the system reliability with a minimal lifecycle cost.

Suggested Citation

  • Yadong Zhang & Chao Zhang & Shaoping Wang & Rentong Chen & Mileta M. Tomovic, 2022. "Performance Degradation Based on Importance Change and Application in Dissimilar Redundancy Actuation System," Mathematics, MDPI, vol. 10(5), pages 1-15, March.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:5:p:843-:d:765841
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    References listed on IDEAS

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    2. Zhang, Yadong & Zhang, Chao & Wang, Shaoping & Dui, Hongyan & Chen, Rentong, 2024. "Health indicators for remaining useful life prediction of complex systems based on long short-term memory network and improved particle filter," Reliability Engineering and System Safety, Elsevier, vol. 241(C).

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