Title :
Simulation model and Fault Tree Analysis for AUV
Author :
Bian, Xinqian ; Mou, Chunhui ; Yan, Zheping ; Xu, Jian
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
Abstract :
In this paper, the traditional method of fault tree analysis is briefly introduced. AUV, whose fault tree was built, did not work normally as top event. Using Monte-Carlo random sampling method, we establish the simulation model of the AUV, set up the Fault Tree Analysis simulation MATLAB program and engage in its fault tree quantitative analysis. The life distribution function of the AUV system is obtained through the digital simulation of the FT and the other elements attained are the basic unit importance and the mode importance of the basic components and are working out the Mean Time Between Failure. The specific process of the fault tree´s digital simulation is researched. And in this process, we can see the contribution of each part to the reliability of the whole system, which is a great help to study the reliability of the AUV system.
Keywords :
Monte Carlo methods; fault trees; remotely operated vehicles; sampling methods; underwater vehicles; AUV system; MATLAB program; Monte-Carlo random sampling; digital simulation; fault tree analysis; fault tree quantitative analysis; life distribution function; simulation model; system reliability; Analytical models; Automation; Availability; Computational modeling; Digital simulation; Fault trees; Maintenance; Mathematical model; Safety; Uncertainty; Autonomous Underwater Vehicle; Digital Simulation; Fault Tree; Reliability;
Conference_Titel :
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-2692-8
Electronic_ISBN :
978-1-4244-2693-5
DOI :
10.1109/ICMA.2009.5246716