Have a personal or library account? Click to login
Modelling of the Generator Diagnosis System Based on a Spark Ignition Engine Cover

Modelling of the Generator Diagnosis System Based on a Spark Ignition Engine

Open Access
|Mar 2025

References

  1. Gaitan, N., Ungurean, I., Corotinschi, G., & Roman, C. (2020). An Intelligent Energy Management System Solution for Multiple Renewable Energy Sources. Sustainability, 15 (3), 2531.
  2. Kim, H., Choi, H., Kang, H., An, J., Yeom, S., & Hong, T. (2021). A Systematic Review of the Smart Energy Conservation System: From Smart Homes to Sustainable Smart Cities. Renewable and Sustainable Energy Reviews, 140, 110755.
  3. Holub, H., Kulbovskyi, I., Skok, P., Bambura, O., Melnychenko, O., Kharuta, V., & Tretynychenko, Y. (2020). System model of information flows in networks of the electric supply system in transport infrastructure projects. In Transport Means – Proceedings of the International Conference (pp. 132–135).
  4. Holub, H., Kulbovskyi, I., Sayapina, I., & Muraviov, V. (2023). Research of the information system of management of electrical supply processes on the railway using BPwim tools. In Transport MeansProceedings of the International Conference (pp. 879–883), October 2023.
  5. Kharrich, M., Kamel, S., Alghamdi, A., Eid, A., Mosaad, M., Akherraz, M., & Abdel-Akher, M. (2021). Optimal Design of an Isolated Hybrid Microgrid for Enhanced Deployment of Renewable Energy Sources in Saudi Arabia. Sustainability, 13 (9), 4708.
  6. Zaichenko, S., Shevchuk, S., Kulish, R., Denysiuk, S., Derevianko, D., & Opryshko, V. (2021). Identification of the least reliable elements of autonomous power plant based on internal combustion and diesel engines by the method of the lowest residual entropy. In 2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek), vol. 1, (pp. 549–552), September 2021.
  7. Zaichenko, S., Shevchuk, S., Kulish, R., Denysiuk, S., Derevianko, D., & Opryshko, V. (2021). Identification of the least reliable elements of autonomous power plant based on internal combustion and diesel engines by the method of the lowest residual entropy. In 2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek), September 2021, vol. 1, (pp. 549–552).
  8. Zaichenko, S., Shevchuk, S., Opryshko, V., Pryadko, S., Halem, A., & Adjebi, A. (2020). Determination of autonomous electrical energy source technical condition based on an ISE. In 2020 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek), vol. 1, (pp. 305–308), October 2020.
  9. Zaichenko, S., Shevchuk, S., Opryshko, V., Pryadko, S., & Halem, A. (2020). Autonomous electric power source energy efficiency improvement by ICE gases distribution control. In 2020 IEEE 7th International Conference on Energy Smart Systems (ESS) (pp. 262–265), May 2020.
  10. Zaichenko, S., & Derevianko, D. (2023). Comparison of the energy efficiency of synchronous power generator with spark ignition engine using different types of fuels. In Systems, Decision and Control in Energy V (pp. 155-177). Cham: Springer Nature Switzerland.
  11. Cauet, S., Etien, E., & Rambault, L. (2017). Mechanical Sensorless LPV Torque Ripple Control of Hybrid Electric Vehicle. IET Control Theory & Applications, 11 (16), 2761–2771.
  12. Qin, Y., Tang, X., Jia, T., Duan, Z., Zhang, J., Li, Y., & Zheng, L. (2020). Noise and Vibration Suppression in Hybrid Electric Vehicles: State of the Art and Challenges. Renewable and Sustainable Energy Reviews, 124, 109782.
  13. Davis, R., & Lorenz, R. (2003). Engine Torque Ripple Cancellation with an Integrated Starter Alternator in a Hybrid Electric Vehicle: Implementation and Control. IEEE Transactions on Industry Applications, 39 (6), 1765–1774.
  14. Baboshin, A., Kosarev, A., & Malyshev, V. (2013). Assessing the Technical Condition of Internal Combustion Engines (ICEs) Based on Pressure Readings in the Intake and Exhaust Manifolds. Bulletin of Technical University, 3, 23–32.
  15. Baboshin, A., & Malyshev, V. (2010). Creating a Methodology for Comprehensive Engine Diagnosis and Devising Tools for Evaluating the Technical State of the Piston Component of Internal Combustion Engines. Bulletin of the Technical University, 4 (2), 925–930.
  16. Bazhinov, A., & Serikova, E. (2009). A Software and Hardware System for Estimating the Remaining Lifespan of an Internal Combustion Engine. Bulletin of Kharkov National Automobile and Highway University, 45, 25–31.
  17. Averbukh, M., Rivin, B., & Vinogradov, J. (2007). On-board Battery Condition Diagnostics Using Mathematical Modeling of an Engine Starting System. SAE Transactions, 1476, 406–413.
  18. Nechaev, V., Kapustin, V., & Korablin, I. (2018). An Indiscriminate Method for Determining the State of a Cylinder-Piston Engine Group by the Spread of Compression. Science, Education and Innovation in the Modern World, 7, 346–352.
  19. Nechaev, V., Vorobev, E., & Tarasenko, A. (2018). Methods for the Technical Diagnosis of Diesel Cylinder-Piston Groups through Cold Cranking of the Crankshaft. Engineering Bulletin of the Don, 3 (50), 31–39.
  20. Krivtsov, S., Ukkunov, Y., & Krivtsova, T. (2010). The Theoretical Foundation of the Method for Diagnosing the Compression Properties of a Diesel Engine Based on Current Parameters. Bulletin of the Agricultural Academy, 38, 71–77.
  21. Krivtsov, S., Pukalo, A., & Krivtsova, T. (2015). Contrast of Diagnostic Parameters Used to Assess the Piston Chamber Tightness in Diesel Engine Cylinders during Starter Rotation without Fuel Supply. Automotive Engineers Journal, 6, 54–57.
  22. Kukov, S., Gritsenko, A., & Bakaykin, D. (2016). Enhancing the Procedure for Diagnosing a Cylinder-Piston Assembly. Materials from the LV International Scientific and Technical Conference Achievements of Science in Agricultural Production, 1, 77–82.
  23. Larin, O., Kukov, S., Gritsenko, A., & Glemba, K. (2016). Diagnostic Results of the Cylinder-Piston Group by the Method of Assessing Dynamic Compression. Agrobusiness, 23 (3), 619–625.
  24. Zaichenko, S., & Shevchuk, S. (2014). Formation of Geotechnical Properties of the Rock Mass Adjacent to Tunnels by Roll Pressing. Scientific Bulletin of National Mining University, 2, 45–49.
  25. Lefter, E. (2014). Aspects of simulating the behavior of an ISE for electric starter testing. Electronics, Computers and Artificial Intelligence (ECAI), 2014 6th International Conference on IEEE, 35–38.
DOI: https://doi.org/10.2478/lpts-2025-0009 | Journal eISSN: 2255-8896 | Journal ISSN: 0868-8257
Language: English
Page range: 3 - 16
Published on: Mar 26, 2025
Published by: Institute of Physical Energetics
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year

© 2025 S. Zaichenko, D. Derevianko, O. Okhrimenko, S. Korol, N. Shevchuk, N. Jukova, published by Institute of Physical Energetics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.