Dynamic Reliability Model for Airborne Systems Based on Stochastic Petri Net

被引：0
|
作者：
Zhuang L. [1 ]
Lu Z. [1 ]
Zhang Z. [1 ]
机构：
[1] College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing
来源：
Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University | 2020年 / 38卷 / 04期
关键词：
Airborne systems; Dynamic reliability modeling; Monte Carlo simulation; Stochastic Petri nets; System safety;
D O I：
10.1051/jnwpu/20203840846
中图分类号：
学科分类号：
摘要：
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. © 2020 Journal of Northwestern Polytechnical University.
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页码：846 / 854
页数：8
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