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Ship’s diesel electrical system availability modeling

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
One of the most critical systems for a ship operation is the diesel generator set. This is why the ship preserves four different diesel generators except the power battery packs. The paper describes the generator operations and the main failure conditions. Assuming that the failure rate of the system parts is constant the paper show how the diesel generator system could be modelled in the context of Markov theory.
Słowa kluczowe
Rocznik
Tom
Strony
303--308
Opis fizyczny
Bibliogr. 13 poz., rys., tab.
Twórcy
autor
  • University of the Aegean, Department of Shipping, Trade and Transport, Chios, Greece
autor
  • University of the Aegean, Department of Shipping, Trade and Transport, Chios, Greece
autor
  • University of the Aegean, Department of Financial and Management Engineering, Chios, Greece
Bibliografia
  • [1] Avritzer, A. & Weyuker, E. J. Monitoring smoothly degrading systems for increased dependability. AT&T Bell Laboratories. internal technical memorandum.
  • [2] Bouissou, M. & Bon, J. (2003). A new formalism that combines advantages of fault – trees and Markov models: Boolean logic driver Markov processes. Reliability Engineering and System Safety, 82, 149-163.
  • [3] Chapman, S. (1991). Electric Machinery Fundamentals. McGraw-Hill.
  • [4] Ching, W. & Ng, M. (2006). Markov chains: models, algorithms and applications. New York, Springer.
  • [5] Mahon, L. (1992). Diesel generator handbook. Oxford, Butterworth-Heinemann.
  • [6] Pham, H. (2003). Handbook of Reliability Engineering. Springer-Verlag, London, ISBN: 1-85233-453-3.
  • [7] Platis, A., Limnios, N. & Le du, M. (1998). Dependability analysis of systems modeled by non-homogeneous Markov Chains. Reliability Engineering and System Safety, 61, 235-249.
  • [8] Platis, A. (2006). A Generalization of the Performability indicator. Special Issue on The Second Euro-Japanese Workshop on Stochastic Risk Modelling for Finance, Insurance, Production and Reliability. Computers & Mathematics with Applications, An International Journal, 51, 239-246.
  • [9] Platis, A. (2002). An extension of the Performability measure and application In system reliability. International Journal of Computational and Numerical Analysis and Applications 1, 87-101.
  • [10] Schoening, R., Aubry, J., Cabmois, T. & Hutinet, T. (2006). An aggregation method of Markov graphs for the reliability analysis of hybrid systems. Reliability Engineering and System Safety, 91, 137-148.
  • [11] Trivedi, K. (2002). Probability and Statistics with Reliability, Queuing and Computer Science Application. Willey and Sons.
  • [12] MSC 76/5/5 (2002). Bulk Carrier Safety. Maritime Safety Committee, 76th Session, September 2002, Submitted by the United Kingdom.
  • [13] MSC 78/19/2 (2004). Formal Safety Assessment – Risk Evaluation. Maritime Safety Committee 78th, IMO.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-98047ac6-932f-4e41-89ad-faa81bfa00ab
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