Reliability determination and diagnostics of a mechatronic system

• Autorzy: Turygin Yury , Božek Pavol , Abramov Ivan , Nikitin Yury

Identyfikatory

DOI

10.12913/22998624/92298

• Języki publikacji: EN

Abstrakty

EN

In order to reduce the number and time of layups and to increase the period of effective operation of a mechatronic system it is reasonable to carry out predictive recovery works during one stoppage (repair) for a group of component parts with equal, close or multiple operation hours to the prior-to-failure (limiting) state. Such approach gives also the possibility to carry out recovery works with separate elements in parallel, which allows to reduce the system layup time and to increase the production output.

Słowa kluczowe

EN

determination; diagnostic; mechatronic system

PL

determinacja; diagnostyka; system mechatroniczny

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2018
• Tom: Vol. 12, no 2
• Strony: 274--290
• Opis fizyczny: Bibliogr. 22 poz., fig.

Twórcy

autor

Turygin Yury

• Kalashnikov Izhevsk State University, Faculty of Quality Management, Department of Mechatronic Systems, Studencheskaya 7, 426069 Izhevsk, Russia

autor

Božek Pavol

• Slovak University of Technology, Faculty of Materials Science and Technology, Institute of Production Technologies, J. Bottu 25, 917 24 Trnava, Slovakia

autor

Abramov Ivan

• Kalashnikov Izhevsk State University, Faculty of Quality Management, Department of Mechatronic Systems, Studencheskaya 7, 426069 Izhevsk, Russia

autor

Nikitin Yury

• Kalashnikov Izhevsk State University, Faculty of Quality Management, Department of Mechatronic Systems, Studencheskaya 7, 426069 Izhevsk, Russia

Bibliografia

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• 2. Abramov I.V., Turygin Yu.V., and Komarov K.L. Development of the repair cycle control model of continuously working complex systems according to statistical data. Methods of computational ex-periment in engineering practice, 2, 1992, 126-129.
• 3. Abramov I.V., Turygin Yu.V. and Nikitin Yu.R. Model of equipment operation on the basis of technical state diagnostics, Methods of computational experiment in engineering practice, 3, 1992, 119-124.
• 4. Grămescu, B. and Niţu, C. Parameter identification of a DC servomotor. Romanian Review Precision Mechanics, Optics and Mechatronics, 50, 2016, 227-230.
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• 10. Liu, R., Yang, B., Zio, E. and Chen, X. Artificial intelligence for fault diagnosis of rotating machinery. Mechanical Systems and Signal Processing, 108, 2018, 33-47.
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• 18. Nikitin Y.R., Abramov I.V., Turygin Y.V. and Abramov A.I. Diagnostics of mechatronic systems. Acta Mechatronica, 1(1), 2016, 9-112.
• 19. Dębski H., Wysmulski P. and Falkowicz K. A study of stability and post-critical behaviour of thin-walled composite profiles under compression. Eksploat. I Niezawodn. – Maint. Reliab., 18, 2016, 632–637.
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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).