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Tytuł artykułu

Analysis and assessment of the reliability of the operation process of a complex, diagnosed technical facility in 5-value logic

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
What the article talks about are the difficulties of figuring out how reliable the workings of a complicated technological object are, especially when using a five-valued logic-based diagnostic method. The foundation for conducting dependability studies on technological objects is the utilization of prepared models that depict operational processes. The present study aims to build and provide a comprehensive description of a five-state model that characterizes the operational process of the diagnosed facility. The operational states that hold significance are the states of the object being tested, as diagnosed within the framework of 5VL-value logic. The model of the exploitation process that was constructed was further validated using simulated experiments. The outcomes of these comparative tests yield the calculated probabilities of the tested thing existing in its distinct conditions. The estimated time frames of occurrence of the recognized states in the object were determined based on the probability of occurrence of the diagnostic states, which were derived from the reliability features of the tested object.
Rocznik
Tom
Strony
60--70
Opis fizyczny
Bibliogr. 13 poz., rys., tab.
Twórcy
  • Department of Energy, Faculty of Mechanical Engineering, Technical University of Koszalin, 15-17 Raclawicka St., 75-620 Koszalin, Poland
  • Doctoral School, Technical University of Koszalin, 2 Sniadeckich St., 75-620 Koszalin, Poland
  • Department of Transport Telecommunication; Faculty of Transport; Warsaw University Of Technology; Koszykowa St. 75; 00-662 Warsaw; Poland
  • Department of Mechanical Engineering, Faculty of Technology, Institute of Technology and Business in České Budějovice, Okružní 10, 370 01 České Budějovice, Czech Republic
  • Slovak University of Agriculture in Nitra, Faculty of Engineering, Institute of Electrical Engineering, Automation, Informatics and Physics, Tr. A. Hlinku 2, 949 76 Nitra, Slovakia
  • Department of Energy, Faculty of Mechanical Engineering, Technical University of Koszalin, 15-17 Raclawicka St., 75-620 Koszalin, Poland
Bibliografia
  • 1. Duer S. Assessment of the Operation Process of Wind Power Plant’s Equipment with the Use of an Artificial Neural Network. Energies, 2020, 13, 2437, doi:10.3390/en13102437.
  • 2. Duer S., Paś J., Hapka A., Duer R., Ostrowski A., Woźniak M.: Assessment of the Reliability of Wind Farm Devices in the Operation Process. Energies, 2022, 15, 3860, doi:10.3390/en15113860
  • 3. Nakagawa, T.: Maintenance Theory of Reliability; Springer: London, UK, 2005.
  • 4. Nakagawa, T., Ito, K.: Optimal inspection policies for a storage system with degradation at periodic tests. Math. Comput. Model. 2000, 31, 191–195.
  • 5. Wang, Q.; He, Z.; Lin, S.; Liu, Y. Availability and Maintenance Modeling for GIS Equipment Served in High‐Speed Railway Under Incomplete Maintenance. IEEE Transactions on Power Delivery, Vol. 33, No. 5, 2018.
  • 6. Epstein, B.; Weissman, I.: Mathematical Models for Systems Reliability; CRC Press/Taylor & Francis Group: Boca Raton, FL, USA, 2008.
  • 7. Dyduch, J.; Paś, J.; Rosiński, A.: The Basic of the Exploitation of Transport Electronic Systems; Publishing House of Radom University of Technology: Radom, Poland, 2011.
  • 8. Siergiejczyk, M.; Paś, J.; Rosiński, A.: Issue of reliability – exploitation evaluation of electronic transport systems used in the railway environment with consideration of electromagnetic interference. IET Intell. Transp. Syst. 2016, 10, 587–593. https://doi.org/10.1049/iet-its.2015.0183.
  • 9. Stawowy, M.; Rosinski, A.; Pas, J.; Klimczak, T.: Method of Estimating Uncertainty as a Way to Evaluate Continuity Quality of Power Supply in Hospital Devices; Published: Jan 2021 in Energies; DOI: 10.3390/EN14020486
  • 10. Siergiejczyk, M.; Rosiński, A.: Analysis of power supply maintenance in transport telematics system. Solid State Phenom. 2014, 210, 14–19. https://doi.org/10.4028/www.scientific.net/SSP.210.14.
  • 11. Stawowy, M.; Olchowik, W.; Rosiński, A.; Dąbrowski, T.: The Analysis and Modelling of the Quality of Information Acquired from Weather Station Sensors. Remote Sens. 2021, 13, 693. https://doi.org/10.3390/rs13040693.
  • 12. Paś, J.; Rosiński, A.; Chrzan, M.; Białek, K.: Reliability-Operational Analysis of the LED Lighting Module Including Electromagnetic Interference. IEEE Trans. Electromagn. Compact. 2020, 62, 2747–2758. https://doi.org/10.1109/TEMC.2020.2987388.
  • 13. Dhillon, B.S.: Applied Reliability and Quality, Fundamentals, Methods, and Procedures; Springer: London, UK, 2006; p. 186.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a8a68f00-4560-40ec-95e0-24a8dc165b47
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