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2023 Journal Impact Factor - 0.7
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ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Reliability Assessment of Main Engine Subsystems Considering Turbocharger Failure as a Case Study
1 University of Tasmania, Launceston, Australia
ABSTRACT: Safe operation of a merchant vessel is dependent on the reliability of the vessel’s main propulsion engine. Reliability of the main propulsion engine is interdependent on the reliability of several subsystems including lubricating oil system, fuel oil system, cooling water system and scavenge air system. Turbochargers form part of the scavenge sub system and play a vital role in the operation of the main engine. Failure of turbochargers can lead to disastrous consequences and immobilisation of the main engine. Hence due consideration need to be given to the reliability assessment of the scavenge system while assessing the reliability of the main engine. This paper presents integration of Markov model (for constant failure components) and Weibull failure model (for wearing out components) to estimate the reliability of the main propulsion engine. This integrated model will provide more realistic and practical analysis. It will serve as a useful tool to estimate the reliability of the vessel’s main propulsion engine and make efficient and effective maintenance decisions. A case study of turbocharger failure and its impact on the main engine is also discussed.
KEYWORDS: Main Engine, Markov Model, Main Propulsion, Reliability, Turbocharger, Turbocharger Failure, Main Propulsion Engine, Weibull Failure Model
REFERENCES
Australian Transport Safety Bureau 2006,, ꞌIndependent investigation into the equipment failure on board the Australian registered bulk carrier Golaith in Bass Strait, Marine Occurrence Investigation
No. 186 and 191
FINAL, Australia, DOI 22 September 2002, 12 February 2003.
Bhattacharjya, D & Deleris, LA 2012, 'From Reliability Block Diagrams to Fault Tree Circuits', Decision Analysis, vol. 9, no. 2, pp. 128-137.
Cicek, K & Celik, M 2013, 'Application of failure modes and effects analysis to main engine crankcase explosion failure on-board ship', Safety Science, vol. 51, no. 1, pp. 6-10.
Conglin Dong, C, Zhenglin Liu, Xinping Yan 2013, ''Marine Propulsion Sysytem Reliability Research Based On Fault Tree Analysis', Advanced Shipping And Ocean Engineering,, vol. 2, no. 1, p. 7.
Dhillon, BS 2002, Engineering maintenance: a modern approach, cRc press.
EPSMA 2005, 'Guidelines to Understanding Reliability Prediction', no. 24 June 2005, p. 29.
Gowid, S, Dixon, R & Ghani, S 2014, 'Optimization of reliability and maintenance of liquefaction system on FLNG terminals using Markov modelling', International Journal of Quality & Reliability Management, vol. 31, no. 3, pp. 293-310.
Hashemian, HM & Bean, WC 2011, 'State-of-the-art predictive maintenance techniques', Ieee Transactions on Instrumentation and Measurement, vol. 60, no. 10, pp. 3480-3492.
Heim, K 2002, 'Existing and future demands on the turbocharging of modern large two-stroke diesel engines', in 8-th Supercharging Conference, Dresden, pp. 1-2.
Hountalas, DT 2000, 'Prediction of marine diesel engine performance under fault conditions', Applied Thermal Engineering, vol. 20, no. 18, pp. 1753-1783.
Khonsari, MM & Booser, ER 2008, Applied tribology: bearing design and lubrication, vol. 12, John Wiley & Sons.
Kim, H-W, Park, J-I, Ryu, S-H, Choi, S-W & Ghal, S-H 2009, 'The performance evaluation with diffuser geometry variations of the centrifugal compressor in a marine engine (70MW) turbocharger', Journal of Engineering for Gas Turbines and Power, vol. 131, no. 1, p. 012201.
Kiriya, N 2001, 'Statistical Study on Reliability of Ship Equipment and Safety Management–Reliability Estimation for Failures on Main Engine System by Ship Reliability Database System', Bulletin of the JIME, vol. 29, no. 2, pp. P64-70.
Laskowski, R 2015, 'Fault Tree Analysis as a tool for modelling the marine main engine reliability structure', Zeszyty Naukowe Akademii Morskiej w Szczecinie, no. 41 (113), pp. 71--77.
Liberacki, R 2007, 'Influence Of Redundancy And Ship Machinery Crew Manning On Reliability Of Lubricating Oil System For The Mc-Type Diesel Engine', POLISH CIMAC, p. 129.
Mollenhauer, K & Tschöke, H 2010, 'Handbook of diesel engines', Handbook of Diesel Engines, Edited by K. Mollenhauer and H. Tschöke. Berlin: Springer, 2010., vol. 1.
Navy, US 1994, Handbook of Reliability Prediction Procedures for Mechanical Equipment.
PCAG 2012, 'Failute Rate and Event Data for use within Risk Assesments.'.
Schieman, J 1992-1996, 'Operating Turbochargers - Collection of articles', Turbo magazine 1992-1996.
SE, MDT, TCA-The Benchmark, viewed March 2017 2017.
Smith, DJ 2011, Reliability, Maintainability and Risk 8e: Practical Methods for Engineers Including Reliability Centred Maintenance and Safety-Related Systems, Elsevier.
Takashi, AS, Y 194, 'Investigation in Damages of Turbochargers for Marine Appplication :-Analysis of Database for Ship Reliability in Japan', Marine Engineering, vol. 29, no. 2, pp. 215-218.
Troyer, D 2006, 'Reliability ngineering principles for plant engineers'.
Xu, H 2008, 'DRBD: Dynamic Reliability Block Diagrams for System Reliability Modelling', University of Massachusetts Dartmouth.
Zhu, JF 2011, 'Fault tree analysis of centrifugal compressor', Advanced Materials and Computer Science, Pts 1-3, vol. 474-476, pp. 1587-1590.
Citation note:
Anantharaman M., Khan F., Garaniya V., Lewarn B.: Reliability Assessment of Main Engine Subsystems Considering Turbocharger Failure as a Case Study. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 12, No. 2, doi:10.12716/1001.12.02.06, pp. 271-276, 2018
Authors in other databases:
Mohan Anantharaman:
orcid.org/0000-0001-9574-7753
55757583200
orcid.org/0000-0001-9574-7753
55757583200
vBBE9GgAAAAJBarrie Lewarn:
Other publications of authors:
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