Reliability analysis of aircraft power system based on Bayesian networks and common cause failures

被引：0
|
作者：
Kong X. [1 ]
Wang J. [1 ]
Zhang Z. [1 ]
机构：
[1] School of Aeronautical Engineering, Civil Aviation University of China, Tianjin
来源：
Kong, Xiangfen (xfkong@cauc.edu.cn) | 2020年 / Chinese Society of Astronautics卷 / 41期
基金：
中国国家自然科学基金;
关键词：
Aircraft power system; Bayesian network; Common cause failure; Redundant components; Reliability;
D O I：
10.7527/S1000-6893.2019.23632
中图分类号：
学科分类号：
摘要：
The redundant design in the aircraft power system increases both the reliability of the aircraft system and the probability of common cause failures. To accurately analyze the reliability of the aircraft power system, first, this study adopts the α factor model to decompose the failure rates of the common failure components, and the Bayesian Network (BN) to establish a reliability model of the power system considering the common cause failures. Then, comparative analysis of the reliability of the aircraft power system and its subsystems with and without consideration of common cause failures among redundant components is conducted. The results show a lower reliability of the obtained aircraft power system and its subsystems when the common cause failure factors among redundant components are considered than that without considering these factors, which is more consistent with the actual situation. © 2020, Press of Chinese Journal of Aeronautics. All right reserved.
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