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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 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.
Rocznik
Tom
Strony
403--407
Opis fizyczny
Bibliogr. 16 poz., rys., tab.
Twórcy
autor
- Australian Maritime College, University of Tasmania, Launceston, Australia
autor
- Australian Maritime College, University of Tasmania, Launceston, Australia
autor
- Memorial University of Newfoundland, St. John’s, NL, Canada
autor
- Australian Maritime College, University of Tasmania, Launceston, Australia
autor
- Australian Maritime College, University of Tasmania, Launceston, Australia
Bibliografia
- 1. ATSB 2006. Independent investigation into the main engine failure on board the self discharging bulk carrier Enterprise.
- 2. ATTWOOD, D., KHAN, F. & VEITCH, B. 2006. Offshore oil and gas occupational accidents—what is important? Journal of loss prevention in the process industries, 19, 386398.
- 3. BALIWANGI, L., ARTANA, K. B. & ISHIDA, K. Risk based multi‐objective simulation of ship main engine systems. 28th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2009, May 31, 2009 ‐ June 5, 2009, 2009 Honolulu, HI, United states. American Society of Mechanical Engineers (ASME), 181‐188.
- 4. HATZIGRIGORIS, S., DRITSAS, C., HELIOTIS, A., SPERTOS, A., MORFINOS, C. & KRIEZIS, G. Day‐today challenges of a shipping company from the technical departmentʹs point of view ‐ Lessons learned. 1st International Symposium on Ship Operations, Management and Economics 2005, 2005. Society of Naval Architects and Marine Engineers, 173‐198.
- 5. INGLE, R. B., SAXENA, B. K. & KHAN, M. A. J. 2010. A theoretical investigation of natural frequencies of vibration and noise due to engine and propeller systems of an Ultra Large Crude Carrier (ULCC). Journal of Low Frequency Noise, Vibration and Active Control, 29, 41‐53.
- 6. ISLAM, R., ABBASSI, R., GARANIYA, V. & KHAN, F. 2017. Development of a human reliability assessment technique for the maintenance procedures of marine and offshore operations. Journal of Loss Prevention in the Process Industries, 50, 416‐428.
- 7. ISLAM, R., KHAN, F., ABBASSI, R. & GARANIYA, V. 2018. Human error assessment during maintenance operations of marine systems–What are the effective environmental factors? Safety science, 107, 85‐98.
- 8. ISLAM, R., ABBASSI, R., GARANIYA, V. & KHAN, F. 2017. Development of a human reliability assessment technique for the maintenance procedures of marine and offshore operations. Journal of Loss Prevention in the Process Industries, 50, 416‐428.
- 9. ISLAM, R., KHAN, F., ABBASSI, R. & GARANIYA, V. 2018. Human error assessment during maintenance operations of marine systems–What are the effective environmental factors? Safety science, 107, 85‐98.
- 10. ISLAM, R. & YU, H. 2018. Human Factors in Marine and Offshore Systems. In: FAISAL KHAN, R. A. (ed.) Methods in Chemical Process Safety. Elsevier.
- 11. KAMISKI, W. Assessment and analysis of selected main engines cylinder liners and piston rings wear process. 17th International Multidisciplinary Scientific Geoconference, SGEM 2017, June 29, 2017 ‐ July 5, 2017 2017 Albena, Bulgaria. International Multidisciplinary Scientific Geoconference, 97‐104.
- 12. KIM, S.‐E., CHOI, S.‐H. & VEIKONHEIMO, T. Model tests on propulsion systems for ultra large container vessel. The Twelfth International Offshore and Polar Engineering Conference, 2002. International Society of Offshore and Polar Engineers.
- 13. MONIETA, J. 2016. Ship fires caused by primary failure of the fuel filter of the engine driving the generator. Scientific Journals of The Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie, 119, 3641.
- 14. PITBLADO, R., BAIK, J. & RAGHUNATHAN, V. 2006. LNG decision making approaches compared. Journal of hazardous materials, 130, 148‐154.
- 15. PROPOSES, A. C. Bulk Shipping Concept Aims to Expand Capacity of Shallow‐water Ports.
- 16. SZOLNOKI, G. & HOFFMANN, D. 2013. Online, face‐toface and telephone surveys—Comparing different sampling methods in wine consumer research. Wine Economics and Policy, 2, 57‐66
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2da54ad2-7b8f-46f4-832c-5d600ea8dc2d
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