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一种基于贝叶斯网络的机务维修差错调查模型算法
引用本文:魏麟,周长春,谢果.一种基于贝叶斯网络的机务维修差错调查模型算法[J].中国安全生产科学技术,2012,8(8):102-105.
作者姓名:魏麟  周长春  谢果
作者单位:中国民航飞行学院航空工程学院,广汉,618307
基金项目:中国民航飞行学院科技基金项目(J2010-60)资助
摘    要:提出一种基于贝叶斯网络的机务维修差错调查模型算法,根据已经建立的机务人为诱因导致事故/事故征候模型,利用贝叶斯原理编程实现了该算法。利用该算法对中国民航飞行学院2001-2011年的机务人为有引导的事故/事故征候依次进行分析并验证,得到了相应的事故诱因概率排序。该算法克服了样本空间不足,在事故发生以后能够在引入其他证据的情况下根据以前的经验概率得到新的事故诱因概率排序,为民航机务维修差错调查提供了可靠的技术支持。

关 键 词:贝叶斯网络  机务维修差错  调查模型  算法

Method on investigation model of aircraft maintenance human error based on bayesian network
WEI Lin , ZHOU Chang-chun , XIE Guo.Method on investigation model of aircraft maintenance human error based on bayesian network[J].Journal of Safety Science and Technology,2012,8(8):102-105.
Authors:WEI Lin  ZHOU Chang-chun  XIE Guo
Institution:(Aviation Engineering Institute, Civil Aviation Flight University of China, Guanghan 618307, China)
Abstract:A new method of investigation model about aircraft maintenance human error based on bayesian network was proposed in this paper. A computer program was designed to realize this method according to maintenance hu- man error accidents/incidents model. This new method was used to explore the relationship and interaction of main- tenance human error accidents/incidents in Civil Aviation Flight University of China from 2001 to 2011, the proba- bility sequence of cause factors was achieved. This method overcame the deficiencies attributed to the limitation of the sample capacity, the new probability sequence of cause factors would be achieved by using this method after an accident happened according to old probability sequence. It provides a reliable technique to aircraft maintenance human error investigating and further reducing aircraft accident rates.
Keywords:bayesian network  maintenance error  investigation model  method
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