Development of Proactive Maintenance Plan for Identification of Ship’s Main Engine Failures

Miral Michel, Ahmed Mehana, Sherine Nagy Saleh, Ahmed S. Shehata

Abstract


Ocean shipping is the primary means of transportation for international trade since 90% of traded products are transported over the seas. Accordingly, ensuring that ships operate in an energy-efficient manner is crucial to ensuring that global transportation becomes more efficient, and that financial savings are realized. One of the more potent remedies in this area is achieved by producing the ship's efficient maintenance plan for the engine room. This reduces operating costs while increasing system reliability and operational safety. To achieve this, the proposed research employs a modern maintenance approach, namely the proactive maintenance strategy. A small marine diesel engine is employed in this study, and its operational characteristics are collected to assist in the creation of a condition-based maintenance plan. In addition, machine learning-based models are experimented with, trained, and tested to forecast engine performance using diesel engine data. As a result, applying the suggested model to any engine that is being studied yielded a better maintenance schedule and ensured more effective fault identification with an accuracy of 89.1%.
 

Keywords


Shipping, Diesel Engines, Engine Performance, Proactive Maintenance, Machine Learning, Plan.

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DOI: https://dx.doi.org/10.21622/MARLOG.2024.13.1.73

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Copyright (c) 2025 Miral Michel, Ahmed Mehana, Sherine Nagy Saleh, Ahmed S. Shehata

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The International Maritime Transport and Logistics Journal (MARLOG)

E-ISSN: 2974-3141
P-ISSN: 2974-3133

Published by:

Academy Publishing Center (APC)

Arab Academy for Science, Technology and Maritime Transport (AASTMT)

Alexandria, Egypt