Research on Dynamic Reliability of a Jet Pipe Servo Valve Based on Generalized Stochastic Petri Nets

The jet pipe servo valve is widely used in the military fields of aviation and ship, whose reliability has obvious randomness and dynamic. However, existing methods are either having complicated theory or analyzing static reliability. Based on the generalized stochastic petri nets (GSPN) theory and...

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Main Authors: Yuanbo Chu, Zhaohui Yuan, Jia Chen
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2015/171642
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spelling doaj-c2e4a56b0d234489a8b7d9ebc29eddc02020-11-24T22:50:46ZengHindawi LimitedInternational Journal of Aerospace Engineering1687-59661687-59742015-01-01201510.1155/2015/171642171642Research on Dynamic Reliability of a Jet Pipe Servo Valve Based on Generalized Stochastic Petri NetsYuanbo Chu0Zhaohui Yuan1Jia Chen2School of Automation, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaSchool of Automation, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaSchool of Automation, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, ChinaThe jet pipe servo valve is widely used in the military fields of aviation and ship, whose reliability has obvious randomness and dynamic. However, existing methods are either having complicated theory or analyzing static reliability. Based on the generalized stochastic petri nets (GSPN) theory and the collected basic failure modes and failure rate data of jet pipe servo valve, this paper proposes a novel modeling and simulating method for system’s dynamic behavior analysis. In this method, the dynamic reliability model considering failure’s random and repair is established and is simulated using GSPN software. Then, the steady state probability of servo valve is calculated, which is compared with the value calculated by Markov method. Finally, the dynamic reliability parameters of jet pipe servo valve are calculated using collected failure rate data and different repair rate data. Results show the probability that the maximum error between methods of GSPN and Markov is 2.07%, the optimal repair rate set is less than 1.71µi, and also the dynamic reliability parameters become better with increasing simulation time because of failure’s recovery. Therefore, research methods and results based on GSPN are concise and realistic, which can be used for failure’s qualitative forecast and dynamic reliability’s quantitative calculation of similar complicated system.http://dx.doi.org/10.1155/2015/171642
collection DOAJ
language English
format Article
sources DOAJ
author Yuanbo Chu
Zhaohui Yuan
Jia Chen
spellingShingle Yuanbo Chu
Zhaohui Yuan
Jia Chen
Research on Dynamic Reliability of a Jet Pipe Servo Valve Based on Generalized Stochastic Petri Nets
International Journal of Aerospace Engineering
author_facet Yuanbo Chu
Zhaohui Yuan
Jia Chen
author_sort Yuanbo Chu
title Research on Dynamic Reliability of a Jet Pipe Servo Valve Based on Generalized Stochastic Petri Nets
title_short Research on Dynamic Reliability of a Jet Pipe Servo Valve Based on Generalized Stochastic Petri Nets
title_full Research on Dynamic Reliability of a Jet Pipe Servo Valve Based on Generalized Stochastic Petri Nets
title_fullStr Research on Dynamic Reliability of a Jet Pipe Servo Valve Based on Generalized Stochastic Petri Nets
title_full_unstemmed Research on Dynamic Reliability of a Jet Pipe Servo Valve Based on Generalized Stochastic Petri Nets
title_sort research on dynamic reliability of a jet pipe servo valve based on generalized stochastic petri nets
publisher Hindawi Limited
series International Journal of Aerospace Engineering
issn 1687-5966
1687-5974
publishDate 2015-01-01
description The jet pipe servo valve is widely used in the military fields of aviation and ship, whose reliability has obvious randomness and dynamic. However, existing methods are either having complicated theory or analyzing static reliability. Based on the generalized stochastic petri nets (GSPN) theory and the collected basic failure modes and failure rate data of jet pipe servo valve, this paper proposes a novel modeling and simulating method for system’s dynamic behavior analysis. In this method, the dynamic reliability model considering failure’s random and repair is established and is simulated using GSPN software. Then, the steady state probability of servo valve is calculated, which is compared with the value calculated by Markov method. Finally, the dynamic reliability parameters of jet pipe servo valve are calculated using collected failure rate data and different repair rate data. Results show the probability that the maximum error between methods of GSPN and Markov is 2.07%, the optimal repair rate set is less than 1.71µi, and also the dynamic reliability parameters become better with increasing simulation time because of failure’s recovery. Therefore, research methods and results based on GSPN are concise and realistic, which can be used for failure’s qualitative forecast and dynamic reliability’s quantitative calculation of similar complicated system.
url http://dx.doi.org/10.1155/2015/171642
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AT zhaohuiyuan researchondynamicreliabilityofajetpipeservovalvebasedongeneralizedstochasticpetrinets
AT jiachen researchondynamicreliabilityofajetpipeservovalvebasedongeneralizedstochasticpetrinets
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