Development of automated system of iterative control of vehicle engine technical condition

Authors

DOI:

https://doi.org/10.15587/2312-8372.2016.59871

Keywords:

iterative method, algorithm, parameter, technical condition

Abstract

The article describes the results of studies on the creation of automated system implemented an iterative method for monitoring vehicle engine technical condition, which allows to choose the right combination of control operations to reduce the time of diagnosis procedures. Diagnostic algorithm for automated control of vehicle engine technical condition is proposed. It is shows a part of the experimental data on the tests of automated system of iterative control. The main aim of these studies is to provide an automated control system and the algorithm of its work to be able to reduce production time required to carry out diagnostic operations and monitoring the technical condition of the internal combustion engine by using an iterative approach to the construction of diagnostic operations. The current diagnostic systems to evaluation of the technical condition of the internal combustion engine usually base on a consistent implementation of the developed diagnostic operations. This article discusses the possibility of optimizing the diagnostic operations by eliminating redundant information about the condition. It is proposed an iterative method for monitoring the vehicle engine technical condition. The method can significantly reduce the time of diagnosis and is sufficiently informative for the possibility of adopting diagnostician operator decision on the need for further maintenance or repair operations. The obtained results can be used in a commercial car service. The authors of this study suggest the use of an iterative method for the formation of a program of diagnostic tests for each type of engine.

Author Biographies

Константин Сергеевич Тыманюк, Odessa National Polytechnic University, ave. Shevchenko 1, Odessa, Ukraine, 65044

Postgraduate

Department of Metal-Cutting Machines, Metrology and Certification

Виталий Леонидович Костенко, Odessa National Polytechnic University, ave. Shevchenko 1, Odessa, Ukraine, 65044

Doctor of Technical Sciences, Professor

Department of Metal-Cutting Machines, Metrology and Certification

References

  1. Varnakov, D. V. (2013). Metodika vybora diagnosticheskih parametrov pri opredelenii parametricheskoi nadezhnosti dvigatelei avtotransportnyh sredstv. Sbornik nauchnyh trudov SWorld «Sovremennye napravleniia teoreticheskih i prikladnyh issledovanii ‘2013», Vol. 1, № 9, 17–24.
  2. Wu, J., Chiang, P., Chang, Y., Shiao, Y. (2008, May). An expert system for fault diagnosis in internal combustion engines using probability neural network. Expert Systems with Applications, Vol. 34, № 4, 2704–2713. doi:10.1016/j.eswa.2007.05.010
  3. Komorska, I. (2008). The diagnostic model proposition of the engine vibration signal. Journal of KONES. Powertrain and Transport, Vol. 15, № 2, 191–197.
  4. Tymaniuk, K. S., Kostenko, V. L. (2014). Issledovanie datchikov dlia ekspress–diagnostiki vibratsii. Trudy 14–i mezhdunarodnoi nauchno-prakticheskoi konferentsii «Sovremennye informatsionnye i elektronnye tehnologii SIET-2013». Odessa: ONPU, 80–81.
  5. Kostenko, V., Popereka, E., Nikolenko, A., Yadrova, M., Tymaniuk, K. (2014). Information-measuring system of control of the normalized parameters of industrial factors. Eastern-European Journal of Enterprise Technologies, 3(9(69)), 51–56. doi:10.15587/1729-4061.2014.25419
  6. Tymaniuk, K. S., Kostenko, V. L., Popereka, E. D. (2015). Metodika ekspress-diagnostiki transportnogo sredstva po parametram vibratsii, napriazheniia bortovoi seti i sistemy zazhiganiia. Vestnik NTU «KhPІ», 52 (1161), 44–51.
  7. Songpon, K., Nivesrangsan, P. (2010). Condition monitoring of valve clearance fault on a small four strokes petrol engine using vibration signals. Songklanakarin Journal of Science and Technology, Vol. 32, № 6, 619–625.
  8. Kalinichenko, N. P. (2012). Laboratornyi praktikum po vizual'no-opticheskomu kontroliu. Tomsk: Tomsk Polytechnic University, 114.
  9. Visnap, K. N. (25.05.2009). Metodiki diagnostiki. Otsenka germetichnosti kamery sgoraniia pri pomoshchi pnevmotestera. Avtomobil'noe remontnoe i diagnosticheskoe oborudovanie. Available: http://www.ardio.ru/pnevmet.php
  10. Geveci, M., Osburn, A. W., Franchek, M. A. (2005, September). An investigation of crankshaft oscillations for cylinder health diagnostics. Mechanical Systems and Signal Processing, Vol. 19, № 5, 1107–1134. doi:10.1016/j.ymssp.2004.06.009
  11. Baboshin, A. A., Kosarev, A. S., Malyshev, V. S. (2013). Otsenka tehnicheskogo sostoianiia dvigatelei vnutrennego sgoraniia po toku, potrebliaemomu starterom pri prokrutke dvigatelia. Vestnik Murmanskogo gosudarstvennogo tehnicheskogo universiteta, Vol. 16, № 1, 33–39.

Published

2016-01-21

How to Cite

Тыманюк, К. С., & Костенко, В. Л. (2016). Development of automated system of iterative control of vehicle engine technical condition. Technology Audit and Production Reserves, 1(2(27), 77–82. https://doi.org/10.15587/2312-8372.2016.59871