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Developing a Technical Diagnostic Systems for Internal Combustion Engines

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Advances in Automation (RusAutoCon 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 641))

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Abstract

This article describes the methods of developing a technical diagnostic system for internal combustion engines. The automotive industry plays a leading role in the economy of any state. The history of the global automotive industry development is closely linked with the development of many branches of engineering. Thus, by the beginning of the 20th century, the automobile industry began to consume half of the steel and iron produced, three-quarters of rubber and leather, a third part of nickel and aluminum, and a seventh part of wood and copper. Autobuilding came in first place in terms of production among other branches of engineering, it began to seriously impact the national economies. By the beginning of World War I, the global number of cars reached about 2 million. Of these, 1.3 million were in the USA, 245 thousand in England, 100 thousand in France, 57 thousand in Austria-Hungary, 12 thousand in Italy, 10 thousand in the Russian Empire.

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References

  1. Galiullin, L.A., Valiev, R.A.: Modeling of internal combustion engines test conditions based on neural network. Int. J. Pharm. Technol. 8(3), 14902–14910 (2016)

    Google Scholar 

  2. Galiullin, L.A., Valiev, R.A.: An automated diagnostic system for ICE. J. Adv. Res. Dyn. Control Syst. 10, 1767–1772 (2018)

    Google Scholar 

  3. Galiullin, L.A., Valiev, R.A.: Method for neuro-fuzzy inference system learning for ICE tests. J. Adv. Res. Dyn. Control Syst. 10, 1773–1779 (2018)

    Google Scholar 

  4. Galiullin, L.A., Valiev, R.A.: Modeling of internal combustion engines by adaptive network-based fuzzy inference system. J. Adv. Res. Dyn. Control Syst. 10, 1759–1766 (2018)

    Google Scholar 

  5. Galiullin, L.A., Valiev, R.A.: Optimization of the parameters of an internal combustion engine using a neural network. J. Adv. Res. Dyn. Control Syst. 10, 1754–1758 (2018)

    Google Scholar 

  6. Galiullin, L.A., Valiev, R.A., Mingaleeva, L.B.: Development of a neuro-fuzzy diagnostic system mathematical model for internal combustion engines. HELIX 8, 2535–2540 (2018)

    Article  Google Scholar 

  7. Galiullin, L.A., Valiev, R.A.: Mathematical modelling of diesel engine testing and diagnostic regimes. Turk. Online J. Des. Art Commun. 7, 1864–1871 (2017)

    Google Scholar 

  8. Galiullin, L.A., Valiev, R.A.: Diagnosis system of internal combustion engine development. Rev. Publicando 4(13), 128–137 (2017)

    Google Scholar 

  9. Galiullin, L.A., Valiev, R.A.: Diagnostics technological process modeling for internal combustion engines. In: International Conference on Industrial Engineering, Applications and Manufacturing, pp. 5648–5651 (2017). https://doi.org/10.1109/ICIEAM.2017.8076124

  10. Galiullin, L.A., Valiev, R.A., Mingaleeva, L.B.: Method of internal combustion engines testing on the basis of the graphic language. J. Fundam. Appl. Sci. 9, 1524–1533 (2017)

    Google Scholar 

  11. Galiullin, L.A.: Development of automated test system for diesel engines based on fuzzy logic. In: IEEE 2nd International Conference on Industrial Engineering, Applications and Manufacturing, pp. 1322–1325 (2017). https://doi.org/10.1109/ICIEAM.2016.7911582

  12. Galiullin, L.A., Valiev, R.A.: Automation of diesel engine test procedure. In: IEEE 2nd International Conference on Industrial Engineering, Applications and Manufacturing, pp. 1325–1328 (2016). https://doi.org/10.1109/ICIEAM.2016.7910938

  13. Galiullin, L.A.: Automated test system of internal combustion engines. In: International Scientific and Technical Conference Innovative Mechanical Engineering Technologies, Equipment and Materials-IOP Conference Series-Materials Science and Engineering, vol. 86, pp. 012–018 (2015)

    Google Scholar 

  14. Galiullin, L.A., Valiev, R.A.: Automated system of engine tests on the basis of Bosch controllers. Int. J. Appl. Eng. Res. 10(24), 44737–44742 (2015)

    Google Scholar 

  15. Valiyev, R.A., Galiullin, L.A., Iliukhin, A.N.: Methods of integration and execution of the code of modern programming languages. Int. J. Soft Comput. 10(5), 344–347 (2015)

    Google Scholar 

  16. Valiyev, R.A., Galiullin, L.A., Iliukhin, A.N.: Approaches to organization of the software development. Int. J. Soft Comput. 10(5), 336–339 (2015)

    Google Scholar 

  17. Valiev, R.A., Galiullin, L.A., Dmitrieva, I.S., et al.: Method for complex web applications design. Int. J. Appl. Eng. Res. 10(6), 15123–15130 (2015)

    Google Scholar 

  18. Valiyev, R.A., Galiullin, L.A., Iliukhin, A.N.: Design of the modern domain specific programming languages. Int. J. Soft Comput. 10(5), 340–343 (2015)

    Google Scholar 

  19. Biktimirov, R.L., Valiev, R.A., Galiullin, L.A., et al.: Automated test system of diesel engines based on fuzzy neural network. Res. J. Appl. Sci. 9(12), 1059–1063 (2014)

    Google Scholar 

  20. Zubkov, E.V., Galiullin, L.A.: Hybrid neural network for the adjustment of fuzzy systems when simulating tests of internal combustion engines. Russ. Eng. Res. 31(5), 439–443 (2011)

    Article  Google Scholar 

  21. Valiev, R.A., Khairullin, AKh, Shibakov, V.G.: Automated design systems for manufacturing processes. Russ. Eng. Res. 35(9), 662–665 (2015)

    Article  Google Scholar 

  22. Guihang, L., Jian, W., Qiang, W., et al.: Application for diesel engine in fault diagnose based on fuzzy neural network and information fusion. In: IEEE 3rd International Conference on Communication Software and Networks, pp. 102–105 (2011). https://doi.org/10.1109/ICCSN.2011.6014398

  23. Yu, Y., Yang, J.: The development of fault diagnosis system for diesel engine based on fuzzy logic. In: Proceedings of 8th International Conference on Fuzzy Systems and Knowledge Discovery, pp. 472–475 (2011). https://doi.org/10.1109/FSKD.2011.6019556

  24. Wei, D.: Design of web based expert system of electronic control engine fault diagnosis. In: Proceedings of International Conference on Business Management and Electronic Information, pp. 482–485 (2011). https://doi.org/10.1109/ICBMEI.2011.5916978

  25. Shah, M., Gaikwad, V., Lokhande, S., et al.: Fault identification for I.C. engines using artificial neural network. In: Proceedings of International Conference on Process Automation, Control and Computing, pp. 764–769 (2011). https://doi.org/10.1109/PACC.2011.5978891

  26. Li, X., Yu, F., Jin, H., et al.: Simulation platform design for diesel engine fault. In: Proceedings of the International Conference on Electrical and Control Engineering, pp. 4963–4967 (2011). https://doi.org/10.1109/ICECENG.2011.6057562

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Authors and Affiliations

  1. Kazan Federal University, 18 Kremlyovskaya street, Kazan, 420008, Russian Federation

    L. A. Galiullin & R. A. Valiev

Authors
  1. L. A. Galiullin
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  2. R. A. Valiev
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Correspondence to L. A. Galiullin .

Editor information

Editors and Affiliations

  1. Rectorate, South Ural State University (National Research University), Chelyabinsk, Russia

    Andrey A. Radionov

  2. Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia

    Alexander S. Karandaev

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Galiullin, L.A., Valiev, R.A. (2020). Developing a Technical Diagnostic Systems for Internal Combustion Engines. In: Radionov, A., Karandaev, A. (eds) Advances in Automation. RusAutoCon 2019. Lecture Notes in Electrical Engineering, vol 641. Springer, Cham. https://doi.org/10.1007/978-3-030-39225-3_87

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  • DOI: https://doi.org/10.1007/978-3-030-39225-3_87

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-39224-6

  • Online ISBN: 978-3-030-39225-3

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