Reliability assessment of airborne oxygen system based on Bayesian network

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Reliability assessment of airborne oxygen system based on Bayesian network

WANG Peng^a, CHEN Xi ^b, YAN Fang^a, ZHAO Changxiao^a

(a. Civil Aircraft Airworthiness and Maintenance Key Lab of Tianjin; b. Sino-European Institute of
Aviation Engineering, CAUC, Tianjin 300300, China)

Received:2015-03-01 Revised:2015-03-29 Online:2016-04-23 Published:2016-06-03

Abstract

Abstract:

By analyzing airborne oxygen system architecture, the system reliability assessment model is built based on Bayesian network. The failure rate of leaf node and posteriori failure probability of root nodes are obtained by the forward and backward inferences, the key factors of system reliability are identified based on importance sequence and joint importance, the most probable explanation (MPE)is given. The advantages of the method are explained by comparing with FTA. Quantitative analysis proves the effectiveness of reliability assessment by using Bayesian network, and assessment results can also provide referencial information for the system structure design and fault diagnosis.

Key words: Bayesian network, airborne oxygen system, quantitative assessment

CLC Number:

V240.2

WANG Peng, CHEN Xi,YAN Fang, ZHAO Changxiao. Reliability assessment of airborne oxygen system based on Bayesian network[J]. .

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Reliability assessment of airborne oxygen system based on Bayesian network

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