Title :
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
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;
Conference_Titel :
Information and Automation (ICIA), 2013 IEEE International Conference on
Conference_Location :
Yinchuan
DOI :
10.1109/ICInfA.2013.6720471
