DIAGNOSTICS OF EMISSION CHARACTERSTICS OF VEHICLES DIESEL ENGINES WHEN MONITORING THE TECHNICAL CONDITION UNDER UNSTEADY LOAD

Anatoly Savelyev; Vladimir Shkrabak; Roman Shkrabak

doi:10.61260/1998-8990-2026-1-261-271

UDC 621.436 UDC 504.3.054

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DIAGNOSTICS OF EMISSION CHARACTERSTICS OF VEHICLES DIESEL ENGINES WHEN MONITORING THE TECHNICAL CONDITION UNDER UNSTEADY LOAD

Published in Problems of risk management in the technosphere · Volume 2026, Issue 1 · Pages 261–271 · Rubric: Environmental safety

DOI: https://doi.org/10.61260/1998-8990-2026-1-261-271

Received: 18.02.2026 Accepted: 02.03.2026 Published: 16.04.2026

Authors

Anatoly Savelyev

Vladimir Shkrabak

SPIN

Roman Shkrabak

SPIN

Anatoly Savelyev

Academic degree: doctor of technical sciences

Science rang: professor

N.P. Ogarev Mordovian State University Professor · Department of Life Safety · Saransk

Vladimir Shkrabak

Academic degree: adjunct of technical sciences

Science rang: professor

Saint-Petersburg state agrarian university professor · department of safety of technological processes and productions · Russian Federation

SPIN

Roman Shkrabak

Academic degree: candidate of technical sciences

Science rang: docent

Saint-Petersburg state agrarian university head of the department · department of safety of technological processes and production · Russian Federation

SPIN

ABSTRACT

The relevance of this study is determined by the need to improve methods for monitoring the technical condition of diesel engines to minimize their negative environmental impact. The aim of the work is to substantiate the diagnostic parameters for diesel power units that ensure a reduction in greenhouse gas emissions, considering the probabilistic nature of the external load. The theoretical foundation comprises methods of functional transformation of random variables, which allow assessing the influence of stochastic load fluctuations on engine output parameters, as well as a methodology for calculating greenhouse gas emissions based on fuel consumption data. Experimental studies were conducted on KamAZ-43114 engines. Quantitative values of correction coefficients for the transition from operational tolerances to diagnostic tolerances were established for various levels of load unevenness: from 0,351–0,353 under weak fluctuations to 0,602–0,64 under high unevenness. The application of these coefficients ensures a reduction in the error of monitoring functional parameters by 10–24 %. A correlation was revealed between the variance of the power process and engine operating stability, which made it possible to determine diagnostic modes corresponding to the minimum variability of parameters: for a 10-ton capacity engine – 17,6 m/s (63,4 km/h), for a 16-ton capacity engine — 17,5 m/s (63,0 km/h). Implementing these modes during diagnostics not only increases its reliability but also indirectly helps reduce the carbon footprint of the operated equipment. It is shown that stabilizing the operating cycle in optimal modes creates the potential to reduce CO₂ emissions by 1,55 times compared to the most unstable modes. The scientific novelty lies in establishing the interrelation between the probabilistic characteristics of the external load, engine operating stability, and its environmental performance. The obtained results can be used in the development of maintenance regulations, the creation of automated control systems, and in assessing the carbon footprint of automotive and tractor machinery.

KEYWORDS

diesel engine, diagnostics, environmental performance, greenhouse gas emissions, speed mode, correction coefficients

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1. Shevtsova A., Novikov A. Development of an approach to determination of coupling qualities of road covering using weather-climate factor // Journal of Applied Engineering Science. 2021. Vol. 19. № 1. P. 30–36. DOI:https://doi.org/10.5937/jaes0-26642

2. Suhov S.S. Predotvrashchenie stolknoveniya i snizheniya riska travmirovaniya voditelej avtotransportnyh sredstv sozdaniem sistemy aktivnoj bezopasnosti // Vestnik NCBZHD. 2019. № 1 (39). S. 130–134.

3. Deyanov D.A., Trofimenko Yu.V. Metodika ocenki energopotrebleniya i vybrosov parnikovyh gazov transportnym potokom na ulichno-dorozhnoj seti // Vestnik Moskovskogo avtomobil'no-dorozhnogo gosudarstvennogo tekhnicheskogo universiteta (MADI). 2024. № 3 (78). S. 68–77.

4. Donchenko V.V., Kupavcev V.A. Issledovanie elementov gorodskoj infrastruktury dlya bezopasnogo peredvizheniya sredstv individual'noj mobil'nosti // Vestnik Sibirskogo gosudarstvennogo avtomobil'no-dorozhnogo universiteta. 2023. T. 20. № 3 (91). S. 338–349. DOI:https://doi.org/10.26518/2071-7296-2023-20-3-338-349

5. Review of artificial intelligent algorithms for engine performance, control, and diagnosis / L.F. Ineza Havugimana [et al.] // Energies. 2023. Vol. 16. № 3. P. 1206. DOI:https://doi.org/10.3390/en16031206

6. Monieta J., Kasyk L. Application of machine learning to classify the technical condition of marine engine injectors based on experimental vibration displacement parameters // Energies. 2023. Vol. 16. № 19. P. 6898. DOI:https://doi.org/10.3390/en16196898

7. Trofimenko Yu.V., Runec R.S., Burikov E.I. Koncepciya intellektual'nogo upravleniya dvizheniem s ispol'zovaniem vysokoavtomatizirovannyh transportnyh sredstv pri integracii s infrastrukturoj V2X // Vestnik Doneckoj akademii transporta. 2025. № 4. S. 94–106.

8. Chintala V., Subramanian K.A. A comprehensive review on utilization of hydrogen in a compression ignition engine under dual fuel mode // Renewable and Sustainable Energy Reviews. 2017. Vol. 70. P. 472–491. DOI:https://doi.org/10.1016/j.rser.2016.11.247

9. Oxygenated fuels in acetylene-diesel dual fuel engine: enhancing performance and emission control / Z. Said [et al.] // Energy. 2025. Vol. 317. P. 134710. DOI:https://doi.org/10.1016/j.energy.2025.134710

10. Khujamberdiev R., Cho H. Artificial Intelligence in Automotives: ANNs’ Impact on Biodiesel Engine Performance and Emissions // Energies. 2025. Vol. 18. № 2. P. 438. DOI:https://doi.org/10.3390/en18020438

11. Uluchshenie ekologicheskih pokazatelej sredneoborotnogo dizel'nogo dvigatelya putem primeneniya trekhfaznoj podachi topliva / V.A. Ryzhov [i dr.] // Izvestiya vysshih uchebnyh zavedenij. Mashinostroenie. 2024. № 3 (768). S. 66–76.

12. Yousefi A., Guo H., Birouk M. An experimental and numerical study on diesel injection split of a natural gas/diesel dual-fuel engine at a low engine load // Fuel. 2017. Vol. 212. DOI:https://doi.org/10.1016/j.fuel.2017.10.053

13. Zbikowski M., Teodorczyk A. Machine Learning for Internal Combustion Engine Optimization with Hydrogen-Blended Fuels: A Literature Review // Energies. 2025. Vol. 18. № 6. P. 1391. DOI:https://doi.org/10.3390/en18061391

14. Furman V.V., Markov V.A., Plahov S.V. Sistema elektronnogo upravleniya toplivopodachej gazodizel'nogo dvigatelya // Izvestiya vysshih uchebnyh zavedenij. Mashinostroenie. 2023. № 1 (754). S. 52–62. DOI:https://doi.org/10.18698/0536-1044-2023-1-52-62

15. Recent Research Progress on Black Carbon Emissions from Marine Diesel Engines / G. Wu [et al.] // Atmosphere. 2024. Vol. 15. № 1. P. 22. DOI:https://doi.org/10.3390/atmos15010022

16. Donchenko V.V., Shumskij A.N. Analiz metodov ucheta gruzovyh avtomobilej v transportnom potoke reguliruemogo perekrestka // Vestnik Sibirskogo gosudarstvennogo avtomobil'no-dorozhnogo universiteta. 2023. T. 20. № 2 (90). S. 218–229. DOI:https://doi.org/10.26518/2071-7296-2023-20-2-218-229

17. Nanoparticle Counting for PTI: The Dirty Tail Paradigm / A. Mayer [et al.] // Emission Control Science and Technology. 2025. Vol. 11. № 7. DOI:https://doi.org/10.1007/s40825-024-00257-0

18. Povyshenie dostovernosti diagnostirovaniya dizel'nyh dvigatelej pri neustanovivshejsya nagruzke / A.P. Savel'ev [i dr.] // Tekhnicheskij servis mashin. 2022. № 2 (147). S. 35–42. DOI:https://doi.org/10.22314/2618-8287-2022-60-2-35-42

19. Savel'ev A.P., Belova T.I., Starchenko E.V. Uluchshenie pokazatelej bezopasnosti funkcionirovaniya sel'skohozyajstvennyh avtotransportnyh mashin // Vestnik Ryazanskogo gosudarstvennogo agrotekhnologicheskogo universiteta im. P.A. Kostycheva. 2022. T. 14. № 1. S. 126–134. DOI:https://doi.org/10.36508/RSATU.2022.80.49.019

20. Obosnovanie rezhimov diagnostirovaniya toplivnoj apparatury, rabotayushchej po principu «Common rail» pri proverke eyo tekhnicheskogo sostoyaniya v stendovyh usloviyah / A.P. Savel'ev [i dr.] // Tekhnosfernaya bezopasnost' – nauka XXI veka: materialy I Vseros. nauch.-prakt. konf. Oryol: Orlovskij gosudarstvennyj universitet imeni I.S. Turgeneva, 2024. S. 41–46.

21. Uglerodnyj sled sel'skohozyajstvennogo sektora ekonomiki respubliki Mordoviya / A.P. Savel'ev [i dr.] // Vestnik Ryazanskogo gosudarstvennogo agrotekhnologicheskogo universiteta im. P.A. Kostycheva. 2022. T. 14. № 4. S. 41–46. DOI:https://doi.org/10.36508/RSATU.2022.98.35.007

22. Pasovec V.N., Lahvich V.V., Antonenko M.A. Pozhary na sel'skohozyajstvennoj tekhnike i prichiny ih vozniknoveniya // Vestnik Universiteta grazhdanskoj zashchity MCHS Belarusi. 2021. T. 5. № 2. S. 193–205. DOI:https://doi.org/10.33408/2519-237X.2021.5-2.193

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Professor of the Department of Physical and Chemical Fundamentals of Combustion and Extinguishing Processes Saint-Petersburg university of State fire service of EMERCOM of Russia

Olga Lozhkina

Head of the Department of Fire, Rescue Equipment and automotive industry of Saint-Petersburg university of State fire service of EMERCOM of Russia

Maksim Sytdykov

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Savelyev A. P., Shkrabak V. S., Shkrabak R. V. DIAGNOSTICS OF EMISSION CHARACTERSTICS OF VEHICLES DIESEL ENGINES WHEN MONITORING THE TECHNICAL CONDITION UNDER UNSTEADY LOAD // Problems of risk management in the technosphere. 2026. no. 1. pp. 261-271. DOI: https://doi.org/10.61260/1998-8990-2026-1-261-271. (Date of access 28.09.2026).

MLA

Anatoly Savelyev, Shkrabak V. S., Shkrabak R. V.. "DIAGNOSTICS OF EMISSION CHARACTERSTICS OF VEHICLES DIESEL ENGINES WHEN MONITORING THE TECHNICAL CONDITION UNDER UNSTEADY LOAD." Problems of risk management in the technosphere 2026.1 (2026): 261-271. DOI: https://doi.org/10.61260/1998-8990-2026-1-261-271.

APA

Savelyev A. P., Shkrabak V. S., Shkrabak R. V. (2026). DIAGNOSTICS OF EMISSION CHARACTERSTICS OF VEHICLES DIESEL ENGINES WHEN MONITORING THE TECHNICAL CONDITION UNDER UNSTEADY LOAD. Problems of risk management in the technosphere, 2026(1), 261-271. https://doi.org/10.61260/1998-8990-2026-1-261-271

Chicago

Anatoly Savelyev, Shkrabak V. S., Shkrabak R. V.. "DIAGNOSTICS OF EMISSION CHARACTERSTICS OF VEHICLES DIESEL ENGINES WHEN MONITORING THE TECHNICAL CONDITION UNDER UNSTEADY LOAD." Problems of risk management in the technosphere 2026, no. 1 (2026): 261-271. https://doi.org/10.61260/1998-8990-2026-1-261-271.

WIKI

{{cite journal | author = Savelyev A. P., Shkrabak V. S., Shkrabak R. V. | title = DIAGNOSTICS OF EMISSION CHARACTERSTICS OF VEHICLES DIESEL ENGINES WHEN MONITORING THE TECHNICAL CONDITION UNDER UNSTEADY LOAD | journal = Problems of risk management in the technosphere | year = 2026 | volume = 2026 | issue = 1 | pages = 261-271 | doi = 10.61260/1998-8990-2026-1-261-271 }}

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DIAGNOSTICS OF EMISSION CHARACTERSTICS OF VEHICLES DIESEL ENGINES WHEN MONITORING THE TECHNICAL CONDITION UNDER UNSTEADY LOAD

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