Determining the Residual Life of Automotive Units Based on Vibroacoustic Analysis
https://doi.org/10.21122/2227-1031-2026-25-3-239-245
Abstract
It is noted that in practice, the determination of the residual service life of units is performed either subjectively, or this indicator is not assessed at all due to the lack of necessary methods and means, while a large number of units are written off or sent for labor-intensive repairs with a significant portion of unused service life. The objective of this study was to develop a method for assessing the residual service life of an individual unit using the values of structural parameters associated with the measured diagnostic parameters by vibroacoustic methods, as well as assessing the total residual service life of a group of similar units. Based on the examination of a batch of engines, a method for assessing the residual service life of automotive units is proposed, which includes: the selection of the main structural parameter of the unit under study, a description of the variational series of predicted values of the total service life of individual units with the determination of the probability density of its distribution, the total service life, the probability density of the distribution of the residual service life, and the total residual service life. It has been established that the probability density function of the total service life obeys the Weibull law, while the residual service life obeys the exponential law. It has been shown that the loss of the total service life of units before their decommissioning, write-off, or sending them for labor-intensive repairs amounts to 20–40% on an industry or enterprise scale. The obtained data allows us to provide an economic assessment of the conservation of the remaining service life of operating units. If repair work is scheduled using preliminary diagnostic studies, the range of replaceable parts included in connections whose condition is close to the ultimate limit will be determined.
About the Authors
V. P. IvanovBelarus
Address for correspondence:
Ivanov Vladimir P.
Polotsk State University named after Euphrosyne of Polotsk
29, Blohin str.,
211440, Novopolotsk,
Republic of Belarus
Tel.: +375 214 59-95-39
V. A. Zenkov
Belarus
Novopolotsk
References
1. Mikhlin V. M. (1984) Reliability Management of Agricultural Machinery. Moscow, Kolos Publ. 355 (in Russian).
2. Zhdanovsky N. S., Nikolaenko A. V. (1981) Reliability and Durability of Automotive and Tractor Engines. Leningrad, Kolos Publ. 292 (in Russian).
3. Mohd Ghazali M. H., Rahiman W. (2021) Vibration Analysis for Machine Monitoring and Diagnosis: A Systematic Review. Shock and Vibration, 2021 (1), 9469318. https://doi.org/10.1155/2021/9469318
4. Nithin S. K., Hemanth K., Shamanth, V. (2021) A Review on Combustion and Vibration Condition Monitoring of IC Engine. Materials Today: Proceedings, 45, 65–70. https://doi.org/10.1016/j.matpr.2020.10.093
5. Somehalli Kapanigowda N., Krishna H., Vasanth S., Thammaiah A. (2023) Internal Combustion Engine Gearbox Bearing Fault Prediction Using J48 and Random Forest Classifier. International Journal of Electrical and Computer Engineering (IJECE), 13 (4), 4467–4476. https://doi.org/10.11591/ijece.v13i4.pp4467-4476
6. Tiboni M., Remino C., Bussola R., Amici C. (2022) A Review on Vibration-Based Condition Monitoring of Rotating Machinery. Applied Sciences, 12 (3), 972. https://doi.org/10.3390/app12030972
7. Ivanov V. P., Dudan A. V., Vigerina T. V. (2022) Assessment of the Residual Life of Automobile Engines with Justification of Measures to Increase Their Durability. Aktualnye Voprosy Mashinovedeniya: sb. nauch. tr. [Current Issues in Mechanical Engineering: collection of scientific papers]. Minsk, The Joint Institute of Mechanical Engineering of the National Academy of Sciences of Belarus, Iss. 11, 97–100 (in Russian).
8. Gurvich I. B., Syrkin P. E. (1984) Operational Reliability of Automobile Engines. Moscow, Transport Publ. 141 (in Russian).
9. State Standard Р 50779.27-2017. (MEK 61649: 2008). Statistical methods: Weibull distribution. Data analysis (IEC 61649:2008, Weibull analysis, MOD). Moscow, Standartinform Publ. 57 (in Russian).
10. Abdullin M. R. (2014) Statistical Justification of Strength Characteristics of Composite Materials [Dissertation]. Moscow, Publishing House of Mechanical Engineering Research Institute named after A. A. Blagonravov. 90 (in Russian).
11. Smirnov N. V., Dunin-Barkovsky I. V. (1965) Course in Probability Theory and Mathematical Statistics for Technical Applications. Moscow, Nauka Publ. 511 (in Russian).
Review
For citations:
Ivanov V.P., Zenkov V.A. Determining the Residual Life of Automotive Units Based on Vibroacoustic Analysis. Science & Technique. 2026;25(3):239-245. (In Russ.) https://doi.org/10.21122/2227-1031-2026-25-3-239-245
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