基于概率网络的飞机电力系统可靠性建模方法

Yao Wang, Mingshun Yang, Zhihong Miao, Xiangyu Dong
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引用次数: 2

摘要

鉴于飞机电力系统对飞行安全至关重要,以典型的飞机电力系统为例,提出了一种大型复杂飞机电力系统的系统级可靠性建模方法。该建模方法分为两部分:首先,基于堆栈的数据结构,提出了求解每个电源节点到其汇聚节点(AEPS中对应的电源总线)的最小路径集的深度优先搜索算法;然后在贝叶斯网络理论的基础上,将这些最小路径集转换成一个等效概率网络,提出了一种AEPS可靠性模型构建算法。最后,分别采用现有的传统方法和新方法对典型电力系统的供电可靠性进行了评估。计算结果表明,与传统方法相比,新可靠性模型不仅可以准确、快速地计算出各汇聚节点的供电可靠性,而且具有分析AEPS中各部件依赖关系的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Reliability Modelling Method for Aircraft Electrical Power System Based on Probability Network
As aircraft electrical power system (AEPS) is critical for flight safety, a system-level reliability modelling method for large complex AEPS is proposed with a typical power system as illustration. The modelling method concludes two parts: first, based on the data structure of stack, a depthfirst search algorithm for solving the minimal path sets from each power source node to its sink nodes (which correspond to power supply bus in AEPS) is developed first; and then on the basis of Bayesian network theory, a reliability model construction algorithm for AEPS is proposed by transforming all these minimal path sets into an equivalent probability network. Finally, the power supply reliability of the typical power system is evaluated by using the existent traditional method and the new proposed method separately. The calculation results show that, compared with the traditional method, the new reliability model not only can be used to compute the power supply reliability of each sink node exactly and faster, but also has the advantage of analyzing the dependency of the components in AEPS.
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