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.
Highlights
Published: 7 March 2022The aircraft hydraulic system provides energy for flight control, landing gear retracting and braking, etc
This paper introduces the composition of a dissimilar redundancy actuation system, This paper introduces composition of in a dissimilar redundancy actuation s and analyzes the failure mechanism of thethe key components the system
The results show the reliability of the servo valve degradesinfaster, so its maintenance show that the reliability of the servo valve degrades faster, so its maintenance freq needs to be increased, while the reliability of the hydraulic cylinder degrades rela slowly, so its maintenance frequency can be relatively low
Summary
The aircraft hydraulic system provides energy for flight control, landing gear retracting and braking, etc. The importance measure is a crucial method to identify weak links in a system It can evaluate the impact of the component reliability changes on the system. Dui et al [23,24] extend the integrated importance measure to include semi-Markov processes, in order to analyze how the component state transitions affect the system performance They propose a joint integrated importance measure to evaluate the impact of the maintenance between two related components on the system performance, in multiple states. Zhang et al [26] propose an importance-based maintenance priority model to guide the selection of preventive maintenance components, in order to minimize the expected maintenance cost of the system These importance measure indicators are used in several fields, such as the electronics industry, aerospace and oil exploration [27–29], for example.
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