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The use of a fuzzy expert system to increase the reliability of diagnostics of axle boxes of rolling stocks

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Języki publikacji
EN
Abstrakty
EN
This paper is devoted to the development of an effective system for monitoring the technical condition of the axle boxes of rolling stock. To this end, the possibility of solving problems of fault diagnostics based on the theory of fuzzy sets is considered. This allows one note such difficult-to-formalise factors as experience and intuition of a highly qualified expert specialist. It showed that an expert system-based monitoring approach allows evaluation of the technical condition of the axle boxes, characterised by internal and external operating uncertainty. It also proposed the use of parameters such as vibration and noise for comprehensive monitoring of the technical condition of axle box units together with temperature. Furthermore, the combination of these diagnostic parameters and expert system’s possibility to receive all necessary information about the condition of the most critical components of the axle boxes in real-time and analyse the changes in their operational parameters was explored. The stages of modelling an expert system in the Fuzzy Logic Toolbox package of the MATLAB computing environment are presented.
Rocznik
Tom
Strony
95--106
Opis fizyczny
Bibliogr. 16 poz.
Twórcy
  • Faculty of Transportation and Logistics, Azerbaijan Technical University, H.Javid ave 25, Baku AZ1073, Azerbaijan
Bibliografia
  • 1. Dižo J., M. Blatnický, S. Steišūnas. 2017. “Assessment of negative effects of a coach running with the wheel-flat on a track by means of simulation computations”. Diagnostyka 18(3): 31-37.
  • 2. Entezami Mani, Clive Roberts, Paul Weston, Edward Stewart, Arash Amini, Mayorkinos Papaelias. 2020. “Perspectives on railway axle bearing condition monitoring”. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 234(1): 17-31. ISSN: 0954-4097. DOI: https://doi.org/10.1177/0954409719831822.
  • 3. Frischer R., J. David, P. Švec, O. Krejcar. 2015. “Usage of analytical diagnostics when evaluating functional surface material defects”. Metalurgija 54(4): 667-670. ISSN: 0543-5846.
  • 4. Gerdun Viktor, Tomaz Sedmak, Viktor Sinkovec, Igor Kovse, Bojan Cene. 2007. “Failures of bearings and axles in railway freight wagons”. Engineering Failure Analysis 14(5): 884-894. ISSN: 1350-6307. DOİ: https://doi.org/10.1016/j.engfailanal.2006.11.044.
  • 5. Gudwin Ricardo, Edgar Simeon, Alberto Alvares. 2010. “An expert system for fault diagnostics in condition based maintenance”. ABCM Symposium Series in Mechatronics 4: 304-313. ISBN: 978-85-85769-47-5.
  • 6. He Qing, Xiaotong Zhao, Dongmei Du. 2013. “A novel expert system of fault diagnosis based on vibration for rotating machinery”. Journal of Measurements in Engineering 1(4): 219-227. ISSN: 2335-2124.
  • 7. Jackson Peter. 1998. Introduction to expert systems. England, Harlow: Addison - Wesley. ISBN: 0-201-87686-8.
  • 8. Kosicka E., E. Kozłowski, D. Mazurkiewicz. 2015. „The use of stationary tests for analysis of monitored residual processes”. Eksploatacja i Niezawodnosc – Maintenance and Reliability 17(4): 604-609. DOI: http://dx.doi.org/10 17531/ein.2015.4.17.
  • 9. Lunys Olegas, Stasys Dailydka, Gintautas Bureika. 2015. „Investigation on features and tendencies of axle-box heating”. Transport Problems 10(1):105-114. ISSN 1896-0596. DOI: 10.21307/tp-2015-011.
  • 10. Mazurkiewicz D. 2014. „Computer-aided maintenance and reliability management systems for conveyor belts”. Eksploatacja i Niezawodnosc – Maintenance and Reliability 16(3): 377-382.
  • 11. Mazurkiewicz D. 2010. „Tests of extendability and strength of adhesive-sealed joints in the context of developing a computer system for monitoring the condition of belt joints during conveyor operation”. Eksploatacja i Niezawodnosc – Maintenance and Reliability 3: 34-39.
  • 12. Michalski R., S. Wierzbicki. 2008. „An analysis of degradation of vehicles in operation”. Eksploatacja i Niezawodnosc – Maintenance and Reliability 1: 30-32.
  • 13. Piegat Andrzej. 2001. Fuzzy Modeling and Control. Heidelberg: Springer Science & Business Media. ISBN: 10 3790824860. ISBN: 13 9783790824865.
  • 14. Sivanandam S.N., Sumathi S., Deepa S.N. 2007. Introduction to Fuzzy Logic using MATLAB. Heidelberg: Springer-Verlag. ISBN-10: 3540357807. ISBN-13: 978-3540357803.
  • 15. Штовба С.Д. 2007. Проектирование нечетких систем средствами MATLAB. Москва: Горячая линия-Телеком. [In Russian: Shtovba S.D. 2007. Designing fuzzy systems with MATLAB. Moscow: Hotline-Telecom. ISBN 5-93517-359-X].
  • 16. Štroffek E., P. Peterka, J. Krešák, S. Kropuch. 2006.“Diagnostics of pipelines system”. Metalurgija 45(2): 137-139. ISSN: 0543-5846.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c1a4bcb1-0c0c-43c8-ab42-7f5c6c6845b8
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