Reliability analysis of an autonomous underwater vehicle using fault tree

Author

Hongli Xu ; Guannan Li ; Jian Liu

Author_Institution

State Key Lab. of Robot., Shenyang Inst. of Autom., Shenyang, China

fYear

2013

fDate

26-28 Aug. 2013

Firstpage

1165

Lastpage

1170

Abstract

Reliability is a very important specification for an autonomous underwater vehicle (AUV). The higher reliability can bring the shorter stop-working time and the lower maintenance cost. For a new AUV, reliability needs to be considered in advance during system design stage. This paper proposes a fault tree method for reliability analysis of the 4500m AUV. Firstly a fault tree model and its qualitative analysis are presented to determine the AUV´s bottlenecks. Then the reliability is demonstrated by the Monte Carlo simulation. Finally some experiences are discussed to improve the AUV´s reliability.

Keywords

Monte Carlo methods; autonomous underwater vehicles; fault trees; maintenance engineering; reliability theory; AUV reliability; Monte Carlo simulation; autonomous underwater vehicle; fault tree method; maintenance cost; qualitative analysis; reliability analysis; stop-working time; system design stage; Acoustics; Circuit faults; Fault trees; Monte Carlo methods; Reliability engineering; Sonar; AUV; Monte Carlo simulation; fault tree; reliability analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Automation (ICIA), 2013 IEEE International Conference on

Conference_Location

Yinchuan

Type

conf

DOI

10.1109/ICInfA.2013.6720471

Filename

6720471