Open Access
MATEC Web Conf.
Volume 351, 2021
20th International Conference Diagnostics of Machines and Vehicles “Hybrid Multimedia Mobile Stage”
Article Number 01014
Number of page(s) 10
Section Selected Diagnostic Problems of Hybrid Multimedia Mobile Stages
Published online 06 December 2021
  1. V.V. Bulanov. Reconsignment reconsideration with vibro-diagnostics of construction machinery / V.V. Bulanov, V.I. Klymenko // Bulletin of the Kharkiv National Automobile and Highway University: сollection of scientific works – Kharkiv, 2007. – Push. 37. – P. 57–59. [Google Scholar]
  2. D.M. Baranovskyi. Construction of a mathematical model of dynamic diagnostics of the technical condition of cars / D.М. Baranovskyi, S.О. Khoryshman // New Technologies. – 2012. – № 4. – P. 88–90. [Google Scholar]
  3. S.V. Pletnev., Yu.V. Kriukov., A.B. Ferenets, A.A. Shevchenko. Diagnosting of a cargo car engine on the basis of technologies ODX // Westman of the Kazakh State Technical University IM. A.N. Tipole. – № 2, 2014. – P. 58–61. [Google Scholar]
  4. Non-stroke control [Text]: handbook in 7 volumes. Volume 7. In 2 books. Book 2 Vibroacoustic diagnosis / F.Ya. Balytskyi, А.V. Barkov, N.А. Barkova [et al.]; под общ. ред. V.V. Kliuevа. – М. : Mechanical engineering, 2005. – 829 p. [Google Scholar]
  5. A.P. Naumenko. Methodology of vibroacoustic diagnostics of piston machines [Text] / А.P. Naumenko / Bulletin MGTU them. N.E. Bauman. Spec. Vol. Ser. «Mechanical engineering». – М. : MSTU them. N.E. Bauman, 2007. – P. 85–95. [Google Scholar]
  6. GOST 14846-81 (ST SAV 765-77). Аutomobile engines. Methods of bench tests. 1981. [Google Scholar]
  7. Technical diagnostics. The main terms and definitions: GOST 20911-89. M.: Publishing house standards, 1990. 13 p. [Google Scholar]
  8. ISO 10816-6:1995 Mechanical vibration – Evaluation of machine vibration by measurement on non-rotating parts Part 6: Reciprocating machines with power ratings above 100kW. International Organization for Standardization. Printed in Switzerland, 1995. – 9 p. [Google Scholar]
  9. GOST R ISO 10816-1-97 vibration. Monitoring the state of the machines according to the results of vibration measurements on the unwilling parts. Part 1. General requirements [Text]. Introduction 1999-07-01. M.: IPC Publishing House Standards, 1998. 14 p. [Google Scholar]
  10. GOST R ISO 10816-3-99. Vibration. Assessment of the state of the machines according to the results of vibration measurements on non-rotating parts [Text]: Ch. 3. Introduction 2000-07-01. M.: IPC Publishing House Standards, 2000. 10 p. [Google Scholar]
  11. V.N. Kostiukov. Practical basics of vibroacoustic diagnostics of machinery [Text]: studies. Manual / V.N. Kostiukov, A.P. Naumenko. Omsk: ed, OMGTU, 2002. 108 p. [Google Scholar]
  12. D. Lynn. Detection of rolling bearings defects using vibration analysis / Computational Systems, Inc. (CSI) per. with English I.R. Sheiniaka, edited by V.A. Smirnova. [Google Scholar]
  13. ГОСТ 32106-2013. Condition monitoring and diagnostics of machines. Hazardous equipment monitoring. Vibration generated by rotodynamic pump and compressor units. 2013. [Google Scholar]
  14. G. Modgil, R. Orsagh, and M. J. Roemer, “Advanced vibration diagnostics for engine test cells, ” 2004 IEEE Aerosp. Conf. Proc. (IEEE Cat. No.04TH8720), vol. 5, pp. 3361–3371, 2004. [Google Scholar]
  15. I. Mckinnon. Update International, Inc. Practical approach to analyzing the state of reciprocating machines / lane. with English I.R. Sheiniaka, ed. Cand. tehn Sciences V.A. Smirnova // Vibrodiagnostics for beginners and specialists. URL: (Date of handling: 05/10/2010). [Google Scholar]
  16. J. Pauli, V. Rabe, On-board diagnostics. Driving down costs and complexity for all vehicles. – Genève Switzerland: ISO Central Secretariat, ISO Focus+, Volume 3, No. 2, 2012. – C. 34–37. [Google Scholar]
  17. K. Elbhbah., J.K. Sinha. Vibration-based condition monitoring of rotating machines using a machine composite spectrum, Journal of Sound and Vibration 332, 2013. [Google Scholar]
  18. D Capriglione., C. Liguori, C. Pianese, and A. Pietrosanto. On-line sensor fault detection, isolation, and accommodation in automotive engines. IEEE Trans. Instrument. Measure., 2003, 52 (4), 1182–1189. [CrossRef] [Google Scholar]
  19. A.S. Havriukov. On-board neurosystems for determining emergency modes of agricultural machinery / A.S. Havriukov // Vibrations in technology and technologies. 2004. №2(34). p.48-49. [Google Scholar]
  20. P. Czech, B. Lazarz, H. Madej, G. Wojnar. Vibration diagnosis of car motor engines, Acta Tech. t. 3 fasc. 1, pp. 37-42, Corviniensis Bull. Eng. 2010. [Google Scholar]
  21. D. Antory, U. Kruger, G. Irwin, and G. McCullough. Fault diagnosis in internal combustion engines using non-linear multivariate statistics. Proc. IMechE, Part I: J. Systems and Control Engineering, 2005, 219 (4), 243–258. DOI: 10.1243/095965105X9614. [CrossRef] [Google Scholar]
  22. X. Wang., U. Kruger, G.W. Irwin, G. McCullough, and N. McDowell. Nonlinear PCA with the local approach for diesel engine fault detection and diagnosis. IEEE Trans. Contr. Sys. Tech., 2008, 16 (1), 122–129. [CrossRef] [Google Scholar]
  23. M. Desbazeille, R.B. Randall, F. Guillet, M. El Badaoui, and C. Hoisnard. Model-based diagnosis of large diesel engines based on angular speed variations of the crankshaft. Mech. Sys. Sig. Process., 2010, 24 (5), 1529–1541. [CrossRef] [Google Scholar]
  24. A. Mohammadpour. Survey on Diagnostics Methods for Automotive Engines, American Control Conference, p985-990, 2011. [Google Scholar]
  25. A. Zamanian. Internal Combustion Engine Fault Diagnosis Using Vibration Signals, MSc Dissertation, Tehran University, 2007. [Google Scholar]
  26. A.V. Kostiukov. The orthogonality of the parameters of vibration, vibration and vibrationing in vibrational problems [Text] / A.V. Kostiukov, V.N. Kostiukov // Control. Diagnostics. 2008. № 11. P. 6-15. [Google Scholar]
  27. J. Piecha, T.Ed. Grzyn. Research of the vibration in 3 axes of car body for different idle gear rotational speed, Transactions on Transport Systems, Telematics and Safety, [in:] Burdzik, R., Gliwice: Silesian University of Technology Academic Press, 2011. P. 203-214. [Google Scholar]

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