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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Main Authors: Zhong Lu, Zhiwen Zhang, Lu Zhuang, Jia Zhou
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2019/2124836
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spelling 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
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AT zhiwenzhang reliabilitymodeloftheflybywiresystembasedonstochasticpetrinet
AT luzhuang reliabilitymodeloftheflybywiresystembasedonstochasticpetrinet
AT jiazhou reliabilitymodeloftheflybywiresystembasedonstochasticpetrinet
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