Performability Evaluation of Autonomous Underwater Vehicles Using Phased Fault Tree Analysis

• Published in: Journal of marine science and engineering Vol. 12; no. 4; p. 564
• Main Authors: Byun, Sungil, Lee, Dongik
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.04.2024
• Subjects: autonomous underwater vehicle; Autonomous underwater vehicles; Breakdowns; Components; Decision making; Design; Failure; Fault tree analysis; Marine environment; Markov analysis; performability; Performance assessment; Performance degradation; Performance evaluation; phased fault tree analysis; phased mission system; Preventive maintenance; Ranking; reliability; Remote submersibles; Subsystems; Topographic mapping; Underwater vehicles; Vehicles
• ISSN: 2077-1312; 2077-1312
• DOI: 10.3390/jmse12040564

This paper presents a phased fault tree analysis (phased-FTA)-based approach to evaluate the performability of Autonomous Underwater Vehicles (AUVs) in real time. AUVs carry out a wide range of missions, including surveying the marine environment, searching for specific targets, and topographic mapping. For evaluating the performability of an AUV, it is necessary to focus on the mission-dependent components and/or subsystems, because each mission exploits different combinations of devices and equipment. In this paper, we define a performability index that quantifies the ability of an AUV to perform the desired mission. The novelty of this work is that the performability of the AUV is evaluated based on the reliability and performance of the relevant resources for each mission. In this work, the component weight, expressing the degree of relevance to the mission, is determined using a ranking system. The proposed ranking system assesses the performance of the components required for each mission. The proposed method is demonstrated under various mission scenarios with different sets of faults and performance degradations.