Multi-rotor Electric Vertical Take-off and Landing Aircraft Propulsion System Reliability Analysis and Allocation

Yong-bo HE , Zhi-xuan HUO

Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (17) : 7390 -7397.

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Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (17) : 7390-7397 DOI: 10.12404/j.issn.1671-1815.2404831
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Multi-rotor Electric Vertical Take-off and Landing Aircraft Propulsion System Reliability Analysis and Allocation
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Abstract

Reliability analysis and allocation were conducted on the propulsion system of multi rotor electric vertical takeoff and landing (eVTOL) aircraft. Firstly, to solve the problem of insufficient accumulation of reliability historical data of multi-rotor eVTOL aircraft, a reliability analysis model was established by using fuzzy Bayesian network (FBN) to supplement the reliability prior data, and reliability posterior inference was carried out to assist the key link of the positioning system. Secondly, based on the FBN reliability analysis model of the system, an improved advisory group on reliability of electronic equipment(AGREE) reliability allocation method was proposed. Reliability distribution of eVTOL propulsion systems with different configurations was carried out. The results show that the FBN reliability analysis model supplements the propulsion system reliability data and can effectively identify the system weak links. The reliability allocation results of the improved AGREE allocation method meet the reliability requirements for eVTOL aircraft in SC-VTOL-01, while the reliability allocation results obtained by this method are more reasonable, reflecting the differences between different configurations, subsystems, and components.

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eVTOL / propulsion system / fuzzy Bayesian network / the improved AGREE distribution method / reliability analysis / reliability allocation

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Yong-bo HE, Zhi-xuan HUO. Multi-rotor Electric Vertical Take-off and Landing Aircraft Propulsion System Reliability Analysis and Allocation. Science Technology and Engineering, 2025, 25(17): 7390-7397 DOI:10.12404/j.issn.1671-1815.2404831

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