ВИБРОМОНИТОРИНГ ДВИГАТЕЛЯ ВНУТРЕННЕГО СГОРАНИЯ

Abstract

The work is devoted to the problem of diagnostics of automotive internal combustion engines.The problem of monitoring the state of internal combustion engine is now most relevant dueto the increase in the number of cars and the tightening of environmental requirements. In thework the consequences of operation of faulty internal combustion engine are considered. The purposeof the work is to justify the choice from existing diagnostic methods of such a method, whichcan help to detect the fault most accurately and quickly. For this purpose, the work details moderndiagnostic tools, highlights the principles of work, advantages and disadvantages. With the adventof modern technologies, the long-known method of estimating the state of internal combustionengine by sound can become the most advanced, as the human factor is excluded, for signal processingthe computational technique of analysis of the audio spectrum in which is carried out withthe help of artificial neural networks is used. The use of artificial neural networks for sound spectrumanalysis has found application in speech recognition and for diagnosis of respiratory systemdiseases. The article considers mechanisms that are capable of generating sound signals duringinternal combustion engine operation, some of them are phased, i.e. they are tied to operatingcycles, some are not phased. The proposed diagnostic technique allows to distinguish "useful"sounds from the total number of internal combustion engine noises, after comparative analysis topoint to the node the sound of which differs from the reference, serviceable one. Scientific noveltyconsists in the fact that the diagnostic process becomes automated, all sounds captured by sensorsare processed in a computer or a special scanner, the display shows information about the condition of certain nodes, unlike traditional methods where the diagnosis is carried out visually or byear. This increases diagnostic accuracy and reduces overall labor intensity by avoiding partial orcomplete engine disassembly