Reliability Model of the Fly-By-Wire System Based on Stochastic Petri Net
The fly-by-wire system plays an important role in modern civil aircraft. As a typical safety-critical system, its reliability will affect the safety of aircraft significantly. In the paper, stochastic Petri nets are applied in the reliability modeling and analysis for the fly-by-wire system to repre...
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Series: | International Journal of Aerospace Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/2124836 |
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doaj-248623c9a4b944019c552a7f590332c32020-11-25T02:10:31ZengHindawi LimitedInternational Journal of Aerospace Engineering1687-59661687-59742019-01-01201910.1155/2019/21248362124836Reliability Model of the Fly-By-Wire System Based on Stochastic Petri NetZhong Lu0Zhiwen Zhang1Lu Zhuang2Jia Zhou3College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaCollege of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaCollege of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaDepartment of Aircraft Maintenance, China Eastern Airlines Jiangsu Limited, Nanjing 211113, ChinaThe fly-by-wire system plays an important role in modern civil aircraft. As a typical safety-critical system, its reliability will affect the safety of aircraft significantly. In the paper, stochastic Petri nets are applied in the reliability modeling and analysis for the fly-by-wire system to represent its dynamic (time-dependent) failure behaviors. Stochastic Petri net-based reliability models are established for all kinds of architectures including series, parallel, m-out-of-n, warm standby, cold standby, and load-sharing architectures, which are commonly used in the fly-by-wire system. A Monte Carlo simulation method is proposed for the stochastic Petri net-based reliability models to generate system lifetime samples, and the system reliability parameters can be calculated in terms of the lifetime samples. Finally, a fly-by-wire system is used as a case study to illustrate the application and effectiveness of our proposed approaches. The results show that the error of the reliability value in a flight duration obtained by our Monte Carlo simulation method is less than 1×10−4 compared with the analytical equation.http://dx.doi.org/10.1155/2019/2124836 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhong Lu Zhiwen Zhang Lu Zhuang Jia Zhou |
spellingShingle |
Zhong Lu Zhiwen Zhang Lu Zhuang Jia Zhou Reliability Model of the Fly-By-Wire System Based on Stochastic Petri Net International Journal of Aerospace Engineering |
author_facet |
Zhong Lu Zhiwen Zhang Lu Zhuang Jia Zhou |
author_sort |
Zhong Lu |
title |
Reliability Model of the Fly-By-Wire System Based on Stochastic Petri Net |
title_short |
Reliability Model of the Fly-By-Wire System Based on Stochastic Petri Net |
title_full |
Reliability Model of the Fly-By-Wire System Based on Stochastic Petri Net |
title_fullStr |
Reliability Model of the Fly-By-Wire System Based on Stochastic Petri Net |
title_full_unstemmed |
Reliability Model of the Fly-By-Wire System Based on Stochastic Petri Net |
title_sort |
reliability model of the fly-by-wire system based on stochastic petri net |
publisher |
Hindawi Limited |
series |
International Journal of Aerospace Engineering |
issn |
1687-5966 1687-5974 |
publishDate |
2019-01-01 |
description |
The fly-by-wire system plays an important role in modern civil aircraft. As a typical safety-critical system, its reliability will affect the safety of aircraft significantly. In the paper, stochastic Petri nets are applied in the reliability modeling and analysis for the fly-by-wire system to represent its dynamic (time-dependent) failure behaviors. Stochastic Petri net-based reliability models are established for all kinds of architectures including series, parallel, m-out-of-n, warm standby, cold standby, and load-sharing architectures, which are commonly used in the fly-by-wire system. A Monte Carlo simulation method is proposed for the stochastic Petri net-based reliability models to generate system lifetime samples, and the system reliability parameters can be calculated in terms of the lifetime samples. Finally, a fly-by-wire system is used as a case study to illustrate the application and effectiveness of our proposed approaches. The results show that the error of the reliability value in a flight duration obtained by our Monte Carlo simulation method is less than 1×10−4 compared with the analytical equation. |
url |
http://dx.doi.org/10.1155/2019/2124836 |
work_keys_str_mv |
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