DocumentCode
3373410
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
fYear
2009
fDate
9-12 Aug. 2009
Firstpage
4452
Lastpage
4457
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICMA.2009.5246716
Filename
5246716
Link To Document