VIBRATION MONITORING OF INTERNAL COMBUSTION ENGINE

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 due to the increase in the number of cars and the tightening of environmental requirements. In the work the consequences of operation of faulty internal combustion engine are considered. The purpose of the work is to justify the choice from existing diagnostic methods of such a method, which can help to detect the fault most accurately and quickly. For this purpose, the work details modern diagnostic tools, highlights the principles of work, advantages and disadvantages. With the advent of modern technologies, the long-known method of estimating the state of internal combustion engine by sound can become the most advanced, as the human factor is excluded, for signal processing the computational technique of analysis of the audio spectrum in which is carried out with the help of artificial neural networks is used. The use of artificial neural networks for sound spectrum analysis has found application in speech recognition and for diagnosis of respiratory system diseases. The article considers mechanisms that are capable of generating sound signals during internal combustion engine operation, some of them are phased, i.e. they are tied to operating cycles, 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 to point to the node the sound of which differs from the reference, serviceable one. Scientific novelty consists in the fact that the diagnostic process becomes automated, all sounds captured by sensors are 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 by ear. This increases diagnostic accuracy and reduces overall labor intensity by avoiding partial or complete engine disassembly