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Reliability assessment of a main propulsion engine fuel oil system- what are the failure-prone components?

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Języki publikacji
EN
Abstrakty
EN
The main propulsion engine is the heart of a vessel which carries the entire load of the ship and propels to move ahead. The main engine consists of various sub-systems, the fuel oil system is the most important one. Fuel oil system provides fuel to the engine via a fuel injector mounted on the engine cylinder head. During the voyage, the main engine of a ship encounters a variation in loads and stresses due to rough weather to harsh manoeuvring, which sometimes leads to the breakdown of the main engine. Fuel oil systems are identified as one of the main reasons for engine breakdown. Many accidents happened due to the failure of the main engine fuel oil system in the last two decades. To ensure safe and reliable main propulsion engine operation, it is required to assess the reliability of a fuel oil system. However, there is a significant lack of appropriate data to develop the reliability assessment techniques for fuel oil system. This study proposes appropriate data collection and analysis procedure for the reliability assessment of a fuel oil system. Data related to Failure Running Hours (FRH) of a fuel oil system is collected from 101 experienced marine engineers through a questionnaire. The collected data processed using a box plot and analysed for a normality test. It helps to identify the generalization of the data. Moreover, this study identified failure-prone components of a fuel oil system. The collected data will help in developing reliability assessment techniques for accurate reliability analysis of a fuel oil system. The identified failure-prone components will assist in future reliability analysis and risk mitigation strategies for improving the overall safety and reliability of the shipping industry.
Twórcy
autor
  • Australian Maritime College, University of Tasmania, Launceston, Australia 
  • 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 
Bibliografia
  • 1. ISLAM, R., ABBASSI, R., GARANIYA, V. & KHAN, F. 2017a. 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. - doi:10.1016/j.jlp.2017.10.015
  • 2. ISLAM, R., ABBASSI, R., GARANIYA, V. & KHAN, F. I. 2016. Determination of human error probabilities for the maintenance operations of marine engines. Journal of Ship Production and Design, 32, 226-234. - doi:10.5957/JSPD.32.4.150004
  • 3. ISLAM, R., KHAN, F., ABBASSI, R. & GARANIYA, V. 2018a. Human error assessment during maintenance operations of marine systems–What are the effective environmental factors? Safety science, 107, 85-98. - doi:10.1016/j.ssci.2018.04.011
  • 4. ISLAM, R., KHAN, F., ABBASSI, R. & GARANIYA, V. 2018b. Human error probability assessment during maintenance activities of marine systems. Safety and health at work, 9, 42-52. - doi:10.1016/j.shaw.2017.06.008
  • 5. ISLAM, R. & YU, H. 2018. Human Factors in Marine and Offshore Systems. Methods in Chemical Process Safety. Elsevier. - doi:10.1016/bs.mcps.2018.04.002
  • 6. ISLAM, R., YU, H., ABBASSI, R., GARANIYA, V. & KHAN, F. 2017b. Development of a monograph for human error likelihood assessment in marine operations. Safety science, 91, 33-39. - doi:10.1016/j.ssci.2016.07.008
  • 7. KNOWLES, M. & BAGLEE, D. Condition management of marine lube oil and the role of intelligent sensor systems in diagnostics. 25th International Congress on Condition Monitoring and Diagnostic Engineering, COMADEM 2012, June 18, 2012 - June 20, 2012, 2012 Huddersfield, United Kingdom. Institute of Physics Publishing.
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-c916977b-6c79-461c-8413-6650a52e44f6
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