Abstract
The paper considers issues related to the assessment of technical condition of diesel engines by creating a remote diagnostic system capable of assessing the technical condition of the engine under check. Based on the analysis of the read and stored diagnostic data, the system can calculate and correct their critical values. These system capabilities make it possible to solve problems related to service life forecasting. Special subsystems with the possibility of self-learning are used, based on algorithms that establish a connection between the system states and data obtained in real time for each diagnostic parameter.
This is a preview of subscription content, log in via an institution to check access.
REFERENCES
Zorin, V.A. and Pegachkov, A.A., Reliability and risk assessment of machine building items according to diagnostics results, J. Mach. Manuf. Reliab., 2020, vol. 49, no. 9, pp. 811–816. https://doi.org/10.3103/S1052618820090149
Baurova, N.I., Zorin, V.A., and Prikhod’ko, V.M., An information model of technical-system states, Polym. Sci., Ser. D, 2017, vol. 10, no. 4, pp. 353–356. https://doi.org/10.1134/S1995421217040037
Zorin, V.A., Baurova, N.I., Stepanov, P.V., Styskin, M.M., and Tregubov, P.G., System of identification and monitoring of technical state of land transport-processing machines, Tekhnol. Met., 2021, no. 5, pp. 44–49. https://doi.org/10.31044/1684-2499-2021-0-5-44-49
Zorin, V.A., Stepanov, P.V., Styskin, M.M., Tregubov, P.G., and Baurova, N.I., System of proactive online servicing of ground-based transport-production machines, Remont. Vosstanovlenie. Modernizatsiya, 2021, no. 5, pp. 25–27. https://doi.org/10.31044/1684-2561-2021-0-5-25-27
Pegachkov, A.A., Increasing the fatigue longevity of pipe steel 09G2S using transversal rolling, Nov. Mater. Tekhnol. Mashinostr., 2017, no. 25, pp. 83–87.
Zorin, V.A., Baurova, N.I., and Pegachkov, A.A., Assessment of products risks of mechanical engineering by results of diagnosing, Periodicals Eng. Nat. Sci. (PEN), 2019, vol. 7, no. 1, p. 287. https://doi.org/10.21533/pen.v7i1.391
Negovora, A.V., Anan’in, A.D., Mikhlin, V.M., and Gabitov, I.I., Diagnostika i tekhnicheskoe obsluzhivanie mashin. Uchebnik dlya studentov uchrezhdenii vysshego obrazovaniya (Diagnostics and Engineering Maintenance of Machines: Textbook for University Students), Moscow: Akademiya, 2015, 2nd ed.
Pavlov, A.A., Improving the hydrodynamics of liquid flow in a system of internal combustion engine cooling for the purpose of improving the temperature state of heat-stressed elements, Cand. Sci. (Eng.) Dissertation, Yaroslavl: 2004, p. 150.
Zudov, G.Yu., Ishkov, A.M., and Levin, A.I., Method for calculting the residual lifetime of a car, Vestn. Irkutsk. Gos. Tekh. Univ., 2014, no. 12, pp. 161–164.
Denisov, V.P., Dombrovskii, A.P., and Zhuravlev, S.S., Prediction of the temperature of an internal combustion engine using adaptive model, Vestn. Sib. Avtodorozhnogo Inst., 2015, no. 3, pp. 57–62.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
The author declares that he has no conflicts of interest.
Additional information
Translated by A. Kolemesin
About this article
Cite this article
Pegachkov, A.A. Service Life Prediction and Evaluation of the Technical Condition of Engines Based on Remote Diagnostic System. Steel Transl. 53, 734–737 (2023). https://doi.org/10.3103/S0967091223090103
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.3103/S0967091223090103