Electronics and Electrical Engineering and Control

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

  • KONG Xiangfen ,
  • WANG Jie ,
  • ZHANG Zhaomin
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  • School of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China

Received date: 2019-11-04

  Revised date: 2019-12-21

  Online published: 2020-02-06

Supported by

National Natural Science Foundation of China(71902180); Aeronautical Science Foundation (20170267002);Civil Aviation Airport Group Smart Operation Key Laboratory Open Fund(KLAGIO20180302)

Abstract

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.

Cite this article

KONG Xiangfen , WANG Jie , ZHANG Zhaomin . Reliability analysis of aircraft power system based on Bayesian networks and common cause failures[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020 , 41(5) : 323632 -323632 . DOI: 10.7527/S1000-6893.2019.23632

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