Method of availability control of the transport means

• Autorzy: Woropay M. , Migawa K. , Neubauer A.
• Języki publikacji: EN

Abstrakty

EN

The problems presented in this article deal with operation and maintenance process control in complex systems of technical object operation and maintenance. The article presents the description of the method concerning the control availability for technical objects (means of transport) on the basis of the mathematical model of the operation and maintenance process with the implementation of the decisive processes by semi-Markov. The presented method means focused on the preparing the decisive for the operation and maintenance process for technical objects (semi-Markov model) and after that specifying the best control strategy (optimal strategy) from among possible decisive variants in accordance with the approved criterion (criteria) of the activity evaluation of the system of technical objects operation and maintenance. In the presented method specifying the optimal strategy for control availability in the technical objects means a choice of a sequence of control decisions made in individual states of modelled operation and maintenance process for which the function being a criterion of evaluation reaches the extreme value. In order to choose the optimal control strategy the implementation of the genetic algorithm was chosen. Depending on one’s needs, the genetic algorithm including the obtained model of operation and maintenance process may be implemented for mathematic formulation and solution of a wide array of problems connected with control of complex systems of technical object operation and maintenance. It pertains mostly to the economic analysis, safety management and controlling availability and reliability of complex systems. The opinions were presented on the example of the operation and maintenance process of the means of transport implemented in the real system of the bus municipal transport.

Słowa kluczowe

EN

semi-Markov processes; control decisions; genetic algorithm

• Wydawca: Łukasiewicz Research Network - Institute of Aviation ; European Science Society of Powertrain and Transport KONES Poland ; Wydawnictwo Instytutu Technicznego Wojsk Lotniczych
• Czasopismo: Journal of KONES
• Rocznik: 2013
• Tom: Vol. 20, No. 4
• Strony: 485--492
• Opis fizyczny: Bibliogr. 11 poz., rys.

Twórcy

autor

Woropay M.

• Air Force Institute of Technology Księcia Bolesława Street 6, 01-494 Warsaw, Poland tel.: [phone]

autor

Migawa K.

• University of Technology and Life Sciences Prof. S. Kaliskiego Street 7, 85-789 Bydgoszcz, Poland tel.: [phone]

autor

Neubauer A.

• Nicolaus Copernicus University Gagarina Street 11, 87-100 Torun, Poland tel.: [phone]

Bibliografia

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• [2] Goldberg, D. E., Algorytmy genetyczne i ich zastosowanie, WNT, Warszawa 2003.
• [3] Jaźwiński, J., Grabski, F., Niektóre problemy modelowania systemów transportowych, Instytut Technologii Eksploatacji, Warszawa-Radom 2003.
• [4] Kashtanov, V. A., Controlled semi-Markov processes in modeling of the reliability and redundancy maintenance of queueing systems, Applied Statistics and Operation Research, Vol. 14, 2010.
• [5] Koroluk, V. S., Turbin, A. F., Semi-Markov processes and their application, Naukova Dumka, Kiev 1976.
• [6] Kusiak, J., Danielewska-Tułecka, A., Oprocha, P., Optymalizacja. Wybrane metody z przykładami zastosowań PWN, Warszawa 2009.
• [7] Migawa, K., Method for control of technical objects operation process with the use of semi-Markov decision processes, Journal of KONES Powertrain and Transport, Vol. 19, No. 4, 2012.
• [8] Mitchell, M., An introduction to genetic algorithms, MIT Press, Cambridge 1996.
• [9] Puterman, M. L., Markov decision processes, John Wiley, New York 1994.
• [10] Smalko, Z., Modelowanie eksploatacyjne systemów transportowych, Instytut Technologii Eksploatacji, Radom 1996.
• [11] Smalko, Z., Podstawy eksploatacji technicznej pojazdów, Oficyna Wydawnicza Politechniki Warszawskiej, Warszawa 1998.