Predicting of the Residual Resource of Car Assemblies
International Journal of Transportation Engineering and Technology
Volume 5, Issue 4, December 2019, Pages: 68-73
Received: Feb. 13, 2019;
Accepted: Apr. 12, 2019;
Published: Oct. 26, 2019
Views 403 Downloads 76
Ivanov Vladimir, Department of Road Transport, State University of Polotzk, Novopolotsk, Republic of Belarus
Vigerina Tatyana, Department of Road Transport, State University of Polotzk, Novopolotsk, Republic of Belarus
Pilipenko Stanislav, Department of Road Transport, State University of Polotzk, Novopolotsk, Republic of Belarus
Follow on us
The research paper introduces a method that can be used for the forecasting the residual life of automobile aggregates (through the example of automobile engines). The results of a test-drive have shown that the proposed method is less labor intensive and has a satisfactory forecast accuracy. In the research the tenets of the reliability theory and mathematical statistics were used as well as information on the post-repair operating time of repaired engines based on the value of the initial main parameter (the gap between the piston and cylinder) for 41 engines. The probability density of this parameter follows the Gauss’ law. In our work we accept the nonlinear change in the mathematical expectation of the main parameter depending on the operating time in the form of a power law. The probability density of the aggregate resource is distributed according to the Weibull law. Adequacy of theoretical information to experimental data was determined by the Fisher criterion. The forecasting of the residual life of the aggregates is relevant when the operating time approaches their limit state. The relative forecast error varies from 0.021 to 0.130, which is quite acceptable for the real-world applications.
Assembly, Reliability, Longevity, Diagnostic Parameter, Residual Resource, Prediction
To cite this article
Predicting of the Residual Resource of Car Assemblies, International Journal of Transportation Engineering and Technology.
Vol. 5, No. 4,
2019, pp. 68-73.
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Fedorov A. G. Forecasting remaining resource of assemblies and units of trucks in the environment of spreadsheet/ A. G. Fedorov, A. M. Krikov, V. N. Delyagin, V. M. Livshits, A. A. Monoszon // Siberian Herald of Agricultural Science. – 2016. – № 3. – P 89–95.
Bazhenov Yu.V. Prediction of the residual resource of constructive elements of vehicles under conditions of operation/ Yu.V. Bazhenov, M.Yu. Bazhenov // Fundamental research. – 2015. – № 4. – P. 16–21.
Bazhenov Yu. V. Prediction of the residual life of electronic engine control systems / Yu.V. Bazhenov, V.P.Kalenov // Bulletin of the Siberian State Automobile and Highway Academy. 2017. – № 2 (54). – Р. 52–59.
Ismagilov R. N. Prediction of the residual life of the bearing according to the vibration level of the mechanism / R. N. Ismagilov, R. R. Gareev, V. U. Yamaliev, A. A. Matsibor // Exposure Oil Gas. – 2015. – № 3 (42). – P. 65–68.
Desnitsky A. A. Problems of predicting the residual resource of safe operation of fire trucks in the EMERCOM of Russia system / A.A. Desnitsky, N.M. Laurent // Modern technologies for civil defense and emergency response vol. 1. – 2016. – № 1 (7). – Р. 110–114.
Kokorev G. D. Methods of selection of diagnosed parameters of cars in the conditions of agricultural production / G. D. Kokorev// Polythematic network electronic scientific journal of the Kuban State Agrarian University. – 2016. – № 117. – Р. 793-806.
Da-shuai W. Research on Service Life Prediction of Diesel Engine /X. Xin-peng, W. Feng-zhong, C. Zhi-qiang, Z. DA-peng // Journal of Software Engineering, 2016. – № 10. – P. 392–399.
Chebotarev M. I. The expert method of factor analysis of the operational reliability of combine harvesters /M. I. Chebotarev, B.F. Tarasenko, Y. A. Shapiro // Polythematic network electronic scientific journal of the Kuban State Agrarian University. – 2018. – № 136. – Р. 71–86.
Richa S. Rana R. Chi-square test and its application in hypothesis testing / S. Richa, R. Rana // Journal of the Practice of Cardiovascular Sciences. – 2015. – № 1 – Р. 69–71.
Gurvich, I. B. Operational reliability of automobile engines / I. B. Gurvich, P. E. Syrkin. - M.: Transport, 1984. - 141 p.
Zhdanovsky, N. S. Reliability and durability of automotive engines / N. S. Zhdanovsky, A. V. Nikolaenko. – M.: Kolos, 1981. - 292 p.
Mikhlin, V. M. Management of reliability of agricultural machinery / V. M. Mikhlin. - M.: Kolos, 1984.— 335 p.
Ivanov, V. P. The influence of the quality of engine repair on their durability / V. P. Ivanov, A. P. Kastryuk // Bulletin of the State Technical University. BY. Sukhoi, 2012. - № 3. - P. 30–34.
Ivanov, V. P. Complex diagnosis of the cylinder-piston group of the internal combustion engine // V. P. Ivanov, A. N. Vaskovich, G. A. Uvarov // Bulletin of the PGU: Industry. Applied Sciences - 2015. - № 11. - P. 87–92.
Reliability and repair of machines / V. V. Kurchatkin [and others]; by ed. V. V. Kurchatina. - M.: Kolos, 2000. - 776 p.