论文:2020,Vol:38,Issue(4):846-854
引用本文:
荘露, 陆中, 张子文. 基于随机Petri网的机载系统动态可靠性建模[J]. 西北工业大学学报
ZHUANG Lu, LU Zhong, ZHANG Ziwen. Dynamic Reliability Model for Airborne Systems Based on Stochastic Petri Net[J]. Northwestern polytechnical university

基于随机Petri网的机载系统动态可靠性建模
荘露, 陆中, 张子文
南京航空航天大学 民航学院, 江苏 南京 210016
摘要:
机载系统的可靠性对飞机的安全性有重大影响,现代飞机的机载系统自动化与集成化程度高,导致其失效特性具有显著的动态性,即系统失效不仅取决于单元失效的组合方式,还与单元失效顺序相关。提出了一种基于随机Petri网的机载系统的动态可靠性建模方法,针对温储备、冷储备、载荷共担等典型动态结构,构建了随机Petri网模型以表征其动态(时序)失效行为。在所构建的随机Petri网模型的基础上,提出了基于蒙特卡罗仿真的可靠性分析方法,以用于生成系统寿命样本、进行可靠性参数的计算。最后,以某飞机交流电源系统为例给出了应用实例,结果表明:所提方法与传统解析法的误差在2×10-7以内,能够满足工程应用的需要。
关键词:    机载系统    动态可靠性建模    随机Petri网    蒙特卡罗仿真    系统安全性   
Dynamic Reliability Model for Airborne Systems Based on Stochastic Petri Net
ZHUANG Lu, LU Zhong, ZHANG Ziwen
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Abstract:
The reliability of the airborne systems have a significant influence on the safety of aircraft. The modern airborne systems have a high degree of automation and integration, which lead to obvious dynamic failure characteristics. Namely, system failure is not only dependent on the combination of units’ failures but also related to their sequence. A dynamic reliability method for modeling airborne systems is proposed based on the stochastic Petri nets. Stochastic Petri nets are applied in reliability modeling for typical dynamic structures including warm standby, cold standby and load sharing, which are widely used in airborne systems. In this way, the dynamic (time-dependent) failure behaviors of the airborne system can be represented. In terms of the stochastic Petri net based reliability model, a reliability analysis method based on Monte Carlo simulation is proposed by generating system life samples for system reliability parameter calculation. Finally, an electrical power system is used as a case to illustrate the application and effectiveness of the present approaches. The results show that the difference by using the present method and the analytical method is below 2×10-7, which can be neglected in practice.
Key words:    airborne systems    dynamic reliability modeling    stochastic Petri nets    Monte Carlo simulation    system safety   
收稿日期: 2019-10-14     修回日期:
DOI: 10.1051/jnwpu/20203840846
基金项目: 国家自然科学基金(U1733124)及航空科学基金(20180252002)资助
通讯作者:     Email:
作者简介: 荘露(1998-),女,南京航空航天大学硕士研究生,主要从事适航符合性验证及系统安全性评估研究。
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