Analysis on the Mission Reliability for AUV Based on Monte Carlo Method

doi:10.16182/j.issn1004731x.joss.17-0346

Journal of System Simulation ›› 2019, Vol. 31 ›› Issue (10): 2131-2137.doi: 10.16182/j.issn1004731x.joss.17-0346

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Analysis on the Mission Reliability for AUV Based on Monte Carlo Method

Li Juan^1,2, Zhang Kunyu², Li Haibo², Yang Lijuan³, Wang Mengdi³

1. Key Laboratory of Underwater Robotics, Harbin Engineering University, Harbin 150001, China;
2. College of Automation, Harbin Engineering University, Harbin 150001, China;
3. Jiangnan Shipbuilding (Group) Co. Ltd., Shanghai 201913, China

Received:2017-07-20 Revised:2017-11-23 Online:2019-10-10 Published:2019-12-12

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.

Key words: Autonomous unmanned underwater vehicle, fault tree, minimal cut set, monte carlo method

CLC Number:

TP114.3

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.

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Analysis on the Mission Reliability for AUV Based on Monte Carlo Method

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