Diagnosis of internal combustion engines using an intelligent control algorithm

DOI

10.2991/mtde-19.2019.66How to use a DOI?

Keywords

methods for diagnosing car engines, fuzzy system, adaptive ignition control systems

Abstract

This paper discusses the creation of an instrumentation system for a vibro-acoustic method for diagnosing engines, taking into account the algorithm for constructing a learning engine control system. The control and diagnostic signal is generated on the basis of automatic monitoring of the control actions on the engine's internal combustion engines (power and ignition systems). The proposed measuring system with multichannel vibration analyzers will allow not only in the process of driving to automatically evaluate the technical condition of the car, but also create a database of mathematical dependence of the oscillations on the variety of factors changing the engine state of a particular engine model. Fuzzy systems do not require accurate values of variables and the compilation of descriptive equations and allow us to evaluate different variants of output values. The use of the mathematical apparatus of fuzzy logic makes it possible to make informed decisions in the conditions of poorly formalized problems of rational management and control of the power supply and ignition systems of the internal combustion engine.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - E.R. Kramarenko
AU  - O.N. Sakharova
AU  - I.A. Dmitrieva
PY  - 2019/05
DA  - 2019/05
TI  - Diagnosis of internal combustion engines using an intelligent control algorithm
BT  - Proceedings of the 1st International Scientific Conference "Modern Management Trends and the Digital Economy: from Regional Development to Global Economic Growth" (MTDE 2019)
PB  - Atlantis Press
SP  - 345
EP  - 350
SN  - 2352-5428
UR  - https://doi.org/10.2991/mtde-19.2019.66
DO  - 10.2991/mtde-19.2019.66
ID  - Kramarenko2019/05
ER  -