Reliability analysis of an autonomous underwater vehicle using fault tree

Hongli Xu · Guannan Li · Jian Liu

21 citations0/0 files storedIEEE International Conference on Information and Automation (ICIA)

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Risk and Safety Analysis Reliability and Maintenance Optimization Underwater Vehicles and Communication Systems

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.

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References

2008Dynamic fault tree analysis using Monte Carlo simulation in probabilistic safety assessment 2009Methodology for computer aided fuzzy fault tree analysis

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2014A Systematic Approach to Risk Assessment: Focusing on Autonomous Underwater Vehicles and Operations in Arctic Areas 2017Bow-tie Analysis of Underwater Robots in Offshore Oil and Gas Operations 2023Reliability Evaluation of Autonomous Electric Vehicles Using Fault Tree Method

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