基于贝叶斯网络的全授权数字发动机控制系统可靠性评估

2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS) Pub Date : 2016-10-01 DOI:10.1109/ICRMS.2016.8050158

Naixin Li, Zhong Lu, Jia Zhou

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引用次数: 2

摘要

目前，全授权数字发动机控制系统(FADEC)广泛应用于商用飞机发动机，其可靠性对飞机的安全运行有着重要的影响。本文提出了一种可靠性分析框架。利用贝叶斯网络(BNs)得到系统的可靠性函数，使其能够在连续时域内分析FADEC系统。最后给出了一个实际的FADEC系统，说明了该方法的有效性。与其他形式相比，该形式可以在连续时域内分析系统，并且可以描述系统的多状态特征。结果表明，基于BN的形式化方法是FADEC系统可靠性分析的有力工具。

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Reliability assessment based on Bayesian networks for full authority digital engine control systems

Full Authority Digital Engine Control (FADEC) systems are widely used in commercial aircraft engines nowadays and system reliability has an important effect on the safety of aircraft operation. A reliability analysis framework is proposed in this study. Bayesian networks (BNs) are used to obtain the reliability function of the system which is able to analyze FADEC systems in the continuous time domain. A practical FADEC system is provided to illustrate the effectiveness of our formalism. Compared with others, this formalism can analyze systems in the continuous time domain, and a multi-state characteristic can be described. The result shows that our BN based formalism is a powerful tool for reliability analysis of FADEC systems.

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2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS)

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