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2017 | 24 | 4 |

Tytuł artykułu

Method of building a model of operational changes for the marine combustion engine describing the impact of the damages of this engine on the characteristics of its operation process

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
This article deals with the modeling of the processes of operating both marine main and auxiliary engines. The paper presents a model of changes in operating conditions of ship’s internal combustion engine. The semi-Markov decision process was used to mathematically describe the process model of the engine. The developed model describes the effect of engine damage on the characteristics of its operation.A change in the input parameters of the model can simulate the influence of internal and external factors on the course of the analyzed process. A simplified calculation example is also presented for illustration purposes.The presented method together with developed algorithms and IT tools can be used to solve a wide range of problems related to the operation of marine main engines and other marine equipment as well as maritime and port facilities. This concerns primarily the economic, risk management and operational security issues of complex technical systems, as well as the readiness and reliability analysis of technical facilities

Słowa kluczowe

Wydawca

-

Rocznik

Tom

24

Numer

4

Opis fizyczny

p.67-76,fig.,ref.

Twórcy

autor
  • University of Science and Technology, Al.prof.S.Kaliskiego 7, 85-796 Bydgoszcz, Poland
autor
  • University of Technology and Humanities in Radom, Malczewskiego 29, 26-600 Radom, Poland
autor
  • University of Science and Technology, Al.prof.S.Kaliskiego 7, 85-796 Bydgoszcz, Poland
autor
  • University of Science and Technology, Al.prof.S.Kaliskiego 7, 85-796 Bydgoszcz, Poland

Bibliografia

  • 1. Baykal-Gürsoy M.: Semi-Markov Decision Processes. Wiley Encyclopedia of Operations Research and Management Sciences, 2010.
  • 2. Baykal-Gürsoy M., Gürsoy K.: Semi-Markov Decision Processes: Nonstandard Criteria, Probability in the Engineering and Informational Sciences, Vol. 21:4, pp. 635-657.
  • 3. Bernaciak K.: Zastosowanie decyzyjnych procesów semimarkowskich do optymalizacji eksploatacji pewnego urządzenia. Zagadnienia Eksploatacji Maszyn, Zeszyt 3 (75), 1988.
  • 4. Buslenko, N., Kałasznikow, W., Kowalenko, I.: Theory of complex systems, PWN, Warsaw 1979.
  • 5. Chrzan P.: Łańcuchy decyzyjne Markowa i ich zastosowania w ekonomii. Akademia ekonomiczna, Katowice 1990.
  • 6. Girtler J.: Application of theory of semi-Markov processes to determining distribution of probabilistic process of marine accidents resulting from collision of ships. Polish Maritime Research 2014 nr 1, pp. 9-13.
  • 7. Girtler J.: Stochastyczny model procesu eksploatacji okrętowego silnika spalinowego. Zagadnienia Eksploatacji Maszyn 1989 nr 2, s. 79-88.
  • 8. Girtler J.: Physical aspect of application and usefulness of semi-Markovian processes for modeling the processes occurring in operational phase of technical objects. Polish Maritime Research 2004, nr 3(41), vol. 11, pp. 25-30.
  • 9. Girtler J.: Possibility of estimating the reliability of diesel engines by applying the theory of semi-Markov processes and making operational decisions by considering reliability of diagnosis on technical state of this sort of combustion engines. Combustion Engines. 2015, vol. 163(4), pp. 57-66.
  • 10. Girtler, J.: Usefulness of semi-Markov processes as models of the operation processes for marine main engines and other machines of ship power plants. Journal of Polish CIMAC, 9(2), Gdańsk 2014, pp. 57-67.
  • 11. Grabski F.: Analiza ryzyka w decyzyjnych semi-markowskich modelach procesu eksploatacji. XXXVIII Zimowa Szkoła Niezawodności, Szczyrk, 2010.
  • 12. Grabski F.: Semi-markowskie modele niezawodności i eksploatacji. PAN IBS, seria: Badania Systemowe, t. 30, Warszawa 2002.
  • 13. Grabski F.: Teoria semi-markowskich procesów eksploatacji obiektów technicznych. Zeszyty Naukowe AMW, nr 75 A, Gdynia 1982.
  • 14 . Kostek R., Landowski B., Muślewski Ł.: Simulation of rolling bearing vibration in diagnostics. Journal of Vibroengineering 2015, volume 17, issue 8, pp. 4268-4278, ISSN 1392-8716.
  • 15. Landowski B.: An example of a technical object operation process model describing influence of engine damages on the operation process course. Journal of POLISH CIMAC Vol. 9, No. 3, Gdańsk 2014.
  • 16. Landowski B.: Example of applying Markov decision process to model vehicle maintenance process. Journal of KONES Powertrain and Transport, Vol. 20, No. 4, 2013, European Science Society of Powertrain and Transport Publication, Warsaw 2013.
  • 17. Landowski B.: Example of Markov decision process use for modelling of operation and maintenance process. Interdisciplinary Integration of Science in Technology, Education and Economy. Monograph: edited by Shalapko J. and Żółtowski B., Khmelnytsky – Jaremche 2013, ISBN 978-617-70-94-07-3.
  • 18. Landowski B.: Method of determination values of the chosen decision variables to control rationally the operation and maintenance process in the transport system. Doctoral thesis, Academy of Technology and Agriculture, Bydgoszcz 1999.
  • 19. Landowski B, Perczyński D., Kolber P., Muślewski Ł.: An example of Markov model of technical objects maintenance process. Engineering Mechanics 2016, 22nd International Conference, may 9 – 12, 2016, Svratka, Czech Republic, Book of f u l l tex ts, Inst itute of Thermomecha nics Academy of Sciences of the Czech Republic, 2016, pp. 346-349, ISBN 978-80-87012-59-8, ISSN 1805-8248.
  • 20. Landowski B., Woropay M., Neubauer A.: Sterowanie niezawodnością w systemach transportowych. Biblioteka Problemów Eksploatacji, Wydawnictwo Instytutu Eksploatacji Maszyn, Bydgoszcz – Radom 2004.
  • 21. Łukasiewicz M., Kałaczyński T., Musiał J, Shalapko J.: Diagnostics of buggy vehicle transmission gearbox technical state based on modal vibrations. Journal of Vibroengineering 2014, volume 16, issue 6,pp. 3137-3145, ISSN 1392-8716.
  • 22. Puterman M. L.: Markov decision processes. John Wiley, New York, 1994.
  • 23. Puterman M. L.: Markov decision processes: discrete stochastic dynamic programming. John Wiley & Sons 2014.
  • 24. Rudnicki J.: Application isssues of the semi-markov reliability model. Polish Ma rit ime Resea rch 2015, nr 1(85), vol. 22, pp. 55-64.
  • 25. Rudnicki J.: The time of the first transition of the semi-Markov process in the evaluation of diesel engine operation. Silniki Spalinowe 2011, tom R. 50, nr 3, pp. 89-98.
  • 26. Woropay M., Grabski F., Landowski B.: Semi-Markov model of the vehicle maintenance processes in an urban transport system. Scientific Publishers of the Polish Scientific Association of Automotive Engineering, Archives of Automotive Engineering Vol. 7, No 3, 2004.
  • 27. Woropay M., Knopik L., Landowski B.: Modelowanie procesów eksploatacji w systemie transportowym. Biblioteka Problemów Eksploatacji. Wydawnictwo Instytutu Eksploatacji Maszyn, Bydgoszcz – Radom 2001.
  • 28. Woropay M., Landowski B., Neubauer A.: Applying semi-Markov decision processes to model and simulate the bus operation and maintenance processes. Scientific Publishers of the Polish Scientific Association of Automotive Engineering, Archives of Automotive Engineering Vol. 7, No. 1, 2004.
  • 29. Woropay M., Landowski B., Neubauer A.: Simulation of the method to optimise the operation and maintenance process of the buses in an urban transport system. International Scientific Conference “Transport of the 21st Century”, section5, Warsaw 2004.

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Bibliografia

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