Fault Tree Analysis of a Full-Ocean-Depth Unmanned Submersible

Abstract Due to the rising demands for applications in extreme environments and technological breakthroughs, today's marine equipment system is increasingly intricate and powerful. As a result, the issue of reliability is gaining prominence. One of the most efficient approaches in reliability analysis is Fault Tree Analysis (FTA). The FTA method and the Monte Carlo simulation were used to access the system reliability of a full-ocean-depth unmanned submersible (FODUS). The life distribution function of the system is determined, and the FODUS system's Mean Time Between Failures and the importance index of each basic component are calculated. The results will serve as a reference for future research on the reliability of deep-sea submersibles.