Journal of System Simulation
Abstract
Abstract: The high reliability of AUV is the necessary condition for it to complete the task satisfactorily and efficiently within the specified time. Traditional fault tree is very convenient for describing the reliability model of the system, but for large and complex system, this will significantly increase the computation of reliability parameters, thus the calculation is difficult. Because it to calculate the reliability parameters of complex systems by the traditional fault tree, this paper adopts the method of combining the minimum cut set of fault tree and Monte Carlo method to establish the reliability model for Underwater Autonomous Unmanned Vehicle Systems for minimizing cut set of fault tree, and to analyse the reliability with Monte Carlo's method. The simulation validates the reliability prediction, distribution and evaluation of AUV.
Recommended Citation
Juan, Li; Zhang, Kunyu; Li, Haibo; Yang, Lijuan; and Wang, Mengdi
(2019)
"Analysis on the Mission Reliability for AUV Based on Monte Carlo Method,"
Journal of System Simulation: Vol. 31:
Iss.
10, Article 19.
DOI: 10.16182/j.issn1004731x.joss.17-0346
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol31/iss10/19
First Page
2131
Revised Date
2017-11-23
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.17-0346
Last Page
2137
CLC
TP114.3
Recommended Citation
Li Juan, Zhang Kunyu, Li Haibo, Yang Lijuan, Wang Mengdi. Analysis on the Mission Reliability for AUV Based on Monte Carlo Method[J]. Journal of System Simulation, 2019, 31(10): 2131-2137.
DOI
10.16182/j.issn1004731x.joss.17-0346
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