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Data analysis to evaluate reliability of a main engine


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Anantharaman, MP ORCID: 0000-0001-9574-7753, Islam, Rabiul, Khan, F, Garaniya, V ORCID: 0000-0002-0090-147X and Lewarn, B 2019 , 'Data analysis to evaluate reliability of a main engine' , TransNav, vol. 13, no. 2 , pp. 403-407 , doi: 10.12716/1001.13.02.18.

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Maritime transportation is the essence of international economy. Today, around ninety percent of world trade happens by maritime transportation via 50,000 merchant ships. These ships transport various types of cargo and manned by over a million mariners around the world. Majority of these ships are propelled bymarine diesel engines, hereafter referred to as main engine, due to its reliability and fuel efficiency. Yet numerous accidents take place due to failure of main engine at sea, the main cause of this being inappropriate maintenance plan. To arrive at an optimal maintenance plan, it is necessary to assess the reliability of the mainengine. At present the main engine on board vessels have a Planned Maintenance System (PMS), designed by the ship management companies, considering, advise of the engine manufacturers and/or ship’s chief engineers and masters. Following PMS amounts to carrying out maintenance of a main engine components at specifiedrunning hours, without taking into consideration the assessment of the health of the component/s in question. Furthermore, shipping companies have a limited technical ability to record the data properly and use them effectively. In this study, relevant data collected from various sources are analysed to identify the mostappropriate failure model representing specific component. The data collected, and model developed will be very useful to assess the reliability of the marine engines and to plan the maintenance activities on‐board the ship. This could lead to a decrease in the failure of marine engine, ultimately contributing to the reduction ofaccidents in the shipping industry.

Item Type: Article
Authors/Creators:Anantharaman, MP and Islam, Rabiul and Khan, F and Garaniya, V and Lewarn, B
Keywords: data analysis, reliability, main engine
Journal or Publication Title: TransNav
Publisher: Faculty of Navigation, Gdynia Maritime University
ISSN: 2083-6473
DOI / ID Number: 10.12716/1001.13.02.18
Copyright Information:

Copyright 2019 The Authors. Licensed under Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)

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