Component Criticality Analysis for Improved Ship Machinery Reliability

Redundancy in ship systems is provided to ensure operational resilience through equipment backups, which system availability and offline repairs of machinery. The electric power generation ships provides the most utility all systems; hence, it with a good level standby units reliable operations. Nonetheless, occurrence undesired blackouts common onboard portends serious danger security safety. Therefore, understanding contributing factors affecting reliability component criticality analysis essential ensuring more robust maintenance support platform for efficient In this regard, hybrid fault detection using DFTA ANN was conducted establish related conditions. A case study on consisting four marine diesel plants an Offshore Patrol Vessel (OPV). Results from indicate overall low less than 70 percent within first 24 78 months. Component criticality-using importance measures obtained used identify components 40 contribution subsystem failure. Additionally, machine learning aid feature engineering identification Artificial Neural Network classification. has identified failure pattern threshold at about 200 kva, can be attributed overheating, hence establishing link between generator performance.