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The analysis of class survey methods and their impact on the reliability of marine power plants

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EN
Abstrakty
EN
This article examines the selection methodology of class surveys of a shipborne engine room and its impact on the reliability and operation indicators of a marine power plant. We describe the characteristics of four available class survey methods and then carry out a reliability analysis on the basis of four months of activity on six different ships operating on international voyages, taking into account the two most common supervision methods: renewal and continuous survey. Based on this analyses, we conclude that the reliability indices of a marine power plant, classified according to the continuous method, were slightly lower than for the renewal method. However, we identified potential benefits in terms of overall ship maintenance costs, due to a faster and more economical 5-yearly shipyard survey.
Rocznik
Strony
34--43
Opis fizyczny
Bibliogr. 31 poz., rys., tab.
Twórcy
autor
  • Maritime University of Szczecin, Institute of Marine Propulsion Plants Operation 1–2 Wały Chrobrego St., 70-500 Szczecin, Poland
Bibliografia
  • 1. ABS (2017) Rules for Building and Classing Steel Vessels. American Bureau of Shipping.
  • 2. Adamkiewicz, A. & Zeńczak, W. (2017) On the necessity of changes in the strategy of utilization ship boiler technical condition maintenance in the aspect of LNG applied as fuel. Management Systems in Production Engineering 1 (25), pp. 29–34, doi: 10.1515/mspe-2017-0004.
  • 3. Bejger, A., Chybowski, L. & Gawdzińska, K. (2018) Utilising elastic waves of acoustic emission to assess the condition of spray nozzles in a marine diesel engine. Journal of Marine Engineering & Technology 17, 3, pp. 153–159, doi: 10.1080/20464177.2018.1492361.
  • 4. Bryll, K., Gawdzińska, K., Nabiałek, M. & Pawłowska, P. (2017) The Effect of Degradation in Aqueous Media on Viscosity Average Molecular Weight of Single Polymer Polyester Composites. Revista de Chimie 68 (9), pp. 2034– 2038.
  • 5. Chybowski, L. (2009a) Assessment of Reliability and Availability of Fishing Vessels Power, Propulsion and Technological Plants Based on Fault Tree Analysis. Polish Journal of Environmental Studies 18, 2A, pp. 39–44.
  • 6. Chybowski, L. (2009b) Application of External Events Vectors for Defining Reliability Structure of Fishing Vessels Power, Propulsion and Technological Plants. Polish Journal of Environmental Studies 18, 2A, pp. 45–50.
  • 7. Chybowski, L. & Gawdzińska, K. (2017a) Economic aspects of component importance analysis for complex marine systems. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie 51 (123), pp. 59–65, doi: 10.17402/231.
  • 8. Chybowski, L. & Gawdzińska, K. (2017b) Selected issues regarding achievements in component importance analysis for complex technical systems. Scientific Journals of the Maritime University of Szczecin, Zeszyty Naukowe Akademii Morskiej w Szczecinie 52 (124), pp. 137–144.
  • 9. Chybowski, L., Grządziel, Z. & Gawdzińska, K. (2018) Simulation and Experimental Studies of a Multi-Tubular Floating Sea Wave Damper. Energies 11(4), 1012, doi: 10.3390/en11041012.
  • 10. Czajgucki, J. (1984) Niezawodność spalinowych silników okrętowych. Gdańsk: Wydawnictwo Morskie.
  • 11. DNV-GL (2017) Rules for classification: Ships. Det Norske Veritas – Germanisher Lloyd.
  • 12. DNV-GL (2018) Guide for ship owners: Alternative survey arrangements. Det Norske Veritas – Germanisher Lloyd.
  • 13. Gawdzińska, K., Chybowski, L., Bejger, A. & Krile, S. (2016) Determination of technological parameters of saturated composites based on SiC by means of a model liquid. Metalurgija 55, 4, pp. 659–662.
  • 14. Gawdzińska, K., Chybowski, L., Przetakiewicz, W. & Laskowski, R. (2017) Application of FMEA in the Quality Estimation of Metal Matrix Composite Castings Produced by Squeeze Infiltration. Archives of Metallurgy and Materials 62 (4), pp. 2171–2182, doi: 10.1515/amm-2017-0320.
  • 15. Gawdzińska, K., Grabian, J. & Przetakiewicz, W. (2008) Use of X-ray radiography in finding defects in metal-matrix composite casts. Metalurgija 47, 3, pp. 199–201.
  • 16. Macha, E. (2001) Niezawodność maszyn. Opole: Politechnika Opolska.
  • 17. MAN (2004) Technical documentation of MAN 27/38. MAN STX LTD.
  • 18. MAN (2007) Technical documentation of MAN 27/38. MAN HIUNDAI LTD.
  • 19. Migdalski, J. (red.) (1982) Poradnik niezawodności. Warszawa: Wydawnictwo Przemysłu Maszynowego „WEMA”.
  • 20. myDNV (2018) [Online] Available from: https://my.dnvgl. com/ [Accessed: July 15, 2018].
  • 21. Pajor, M., Marchelek, K. & Powałka, B. (1999) Experimental verification of method of machine tool – cutting process system model reduction in face milling. Computational Methods and Experimental Measurements IX, pp. 503–512.
  • 22. Piaseczny, L. (1992) Technologia naprawy okrętowych silników spalinowych. Gdańsk: Wydawnictwo Morskie.
  • 23. Piotrowski, I. & Witkowski, K. (2003) Okrętowe silniki spalinowe. Gdańsk: Trademar.
  • 24. Premaster (2018) Premaster moinitoring system. [Online] Available from: https://www.premas.no/products/premaster [Accessed: August 15, 2018].
  • 25. PRS (2017) Przepisy klasyfikacji i budowy statków morskich. Gdańsk: Polish Register of Shipping.
  • 26. Włodarski, J.K. (1982) Tłokowe silniki spalinowe procesy trybologiczne. Warszawa: Wydawnictwo WŁiK.
  • 27. YANMAR (1985) Technical documentation of Yanmar 220L. YANMAR LTD.
  • 28. YANMAR (1992) Technical documentation of Yanmar 240L. YANMAR LTD.
  • 29. YANMAR (1993) Technical documentation of Yanmar 200L. YANMAR LTD.
  • 30. Zapłata, I. & Pajor, M. (2016) The Influence of Presumed Border Conditions on FEM Thermal Analysis Results Based on the Example of an LNG Tank Support Saddle. Advances in Mechanics: Theoretical, Computational and Interdisciplinary Issues, pp. 601–604.
  • 31. Żółkiewski, S. (2008) Modelling of dynamical systems in transportation using the Modyfit application. Journal of Achievements in Materials and Manufacturing Engineering 28/1, pp. 71–74.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d5f2c591-d482-458d-be56-7c99de79428f
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