AI-Driven Predictive Maintenance in Maritime Vessels

S. Ilavarasi, Vishnu Kumar Kaliappan, Raguvaran S., Min Dugki, Maruliya Begam Kadarmydeen

Abstract


AI-driven predictive maintenance is transforming the maritime industry by enhancing the reliability and efficiency of vessel operations. This paper examines the methodologies and technologies used in AI-driven predictive maintenance, focusing on their applications in monitoring vessel health, predicting failures, and optimizing maintenance schedules. By presenting case studies, the paper highlights the benefits of predictive maintenance, including reduced downtime, lower maintenance costs, and improved safety. Additionally, the challenges of implementing AI solutions in the maritime sector are discussed, along with future prospects for their adoption.

Keywords


AI, predictive maintenance, maritime vessels, vessel operations.

References


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