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Modelling ship’s diesel electrical system using Markov theory

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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 operation and the main failure conditions. Assuming that the failure rate of the system parts is constant the paper shows how the diesel generator system could be modelled in the context of Markov theory.
Słowa kluczowe
Rocznik
Tom
Strony
241--245
Opis fizyczny
Bibliogr. 10 poz., tab.
Twórcy
autor
  • University of the Aegean, Department of Shipping and Trading, Chios, Greece
autor
  • University of the Aegean, Department of Shipping and Trading, Chios, Greece
autor
  • University of the Aegean, Department of Shipping and Trading, Chios, Greece
autor
  • 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 driven Markov processes. Reliability Engineering and System Safety 82, 149-163.
  • [3] Chapman, S. (2006). Electric Machinery Fundamentals. McGraw-Hill , Inc 1991 Ching W., M. Ng, “Markov chains: models, algorithms and applications”, New York: Springer.
  • [4] Mahon, L. (1992). Diesel generator handbook. Oxford: Butterworth-Heinemann.
  • [5] Pham, H., (2003). Handbook of Reliability Engineering. Springer-Verlag, London Limited, ISBN: 1-85233-453-3.
  • [6] Platis, A., Limnios, N. & Le du, M. (1998). Dependability analysis of systems modeled by nonhomogeneous Markov Chains. Reliability Engineering and System Safety 61, 235-249.
  • [7] 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.
  • [8] Trivedi, K. (2002). Probability and Statistics with Reliability, Queuing and Computer Science Application. Willey and Sons.
  • [9] MSC 76/5/5 (2002). Bulk Carrier Safety” Maritime Safety Committee. 76th Session. September Submitted by the United Kingdom.
  • [10] MSC 78/19/2 (2004). Formal Safety Assessment – Risk Evaluation” Maritime Safety Committee. 78th IMO, Session February.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ace39c33-3e83-46c2-b2d7-e661922ae2d4
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