Data Analysis to Evaluate Reliability of a Main Engine
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...
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Gdynia Maritime University
2019-06-01
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doaj-7aaf6bbf84944fa1a056392f543380892020-11-25T01:09:09ZengGdynia Maritime UniversityTransNav: International Journal on Marine Navigation and Safety of Sea Transportation2083-64732083-64812019-06-0113240340710.12716/1001.13.02.18913Data Analysis to Evaluate Reliability of a Main EngineMohan Anantharaman0Rabiul Islam1Faisal Khan2Vikram Garaniya3Barrie Lewarn4University of Tasmania, Australian Maritime College, Launceston, AustraliaUniversity of Tasmania, Australian Maritime College, Launceston, AustraliaMemorial University of Newfoundland, St. John’s, CanadaUniversity of Tasmania, Australian Maritime College, Launceston, AustraliaUniversity of Tasmania, Australian Maritime College, Launceston, AustraliaMaritime 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 by marine 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 main engine. 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 specified running 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 most appropriate 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 of accidents in the shipping industry.http://www.transnav.eu/files/Data Analysis to Evaluate Reliability of a Main Engine,913.pdfEngine RoomMain EngineReliability of Main EnginePlanned Maintenance System (PMS)Main Engine ComponentsPlanned Maintenance SystemMarine EngineShipping Industry |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mohan Anantharaman Rabiul Islam Faisal Khan Vikram Garaniya Barrie Lewarn |
spellingShingle |
Mohan Anantharaman Rabiul Islam Faisal Khan Vikram Garaniya Barrie Lewarn Data Analysis to Evaluate Reliability of a Main Engine TransNav: International Journal on Marine Navigation and Safety of Sea Transportation Engine Room Main Engine Reliability of Main Engine Planned Maintenance System (PMS) Main Engine Components Planned Maintenance System Marine Engine Shipping Industry |
author_facet |
Mohan Anantharaman Rabiul Islam Faisal Khan Vikram Garaniya Barrie Lewarn |
author_sort |
Mohan Anantharaman |
title |
Data Analysis to Evaluate Reliability of a Main Engine |
title_short |
Data Analysis to Evaluate Reliability of a Main Engine |
title_full |
Data Analysis to Evaluate Reliability of a Main Engine |
title_fullStr |
Data Analysis to Evaluate Reliability of a Main Engine |
title_full_unstemmed |
Data Analysis to Evaluate Reliability of a Main Engine |
title_sort |
data analysis to evaluate reliability of a main engine |
publisher |
Gdynia Maritime University |
series |
TransNav: International Journal on Marine Navigation and Safety of Sea Transportation |
issn |
2083-6473 2083-6481 |
publishDate |
2019-06-01 |
description |
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 by marine 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 main engine. 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 specified running 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 most appropriate 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 of accidents in the shipping industry. |
topic |
Engine Room Main Engine Reliability of Main Engine Planned Maintenance System (PMS) Main Engine Components Planned Maintenance System Marine Engine Shipping Industry |
url |
http://www.transnav.eu/files/Data Analysis to Evaluate Reliability of a Main Engine,913.pdf |
work_keys_str_mv |
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