Volume 38, Number 4, August 2020
|Page(s)||846 - 854|
|Published online||06 October 2020|
Dynamic Reliability Model for Airborne Systems Based on Stochastic Petri Net
College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
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
关键字 : 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
© 2020 Journal of Northwestern Polytechnical University. All rights reserved.
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