Intelligent diagnosics of vehicles

Abstract

Problem. Diagnostics or troubleshooting is an integral part of the operation of automotive technology, and as automotive systems become more complex, the need for diagnostic skills increases, so diagnostic methods by the human senses should be considered an integral part of technical diagnostics at all stages of a vehicle life cycle. Methodology. Analytical methods are used to study the methods of diagnosing vehicles with the help of the intellectual abilities of the operator-diagnostician. Results. The paper shows that the intellectual abilities of the operator-diagnostician play an important role in diagnosing vehicles, the advantages and disadvantages of such diagnostics are presented. The list of basic knowledge necessary for the operator-diagnostician is described as well as the type of operational documentation which is necessary to improve the efficiency of intelligent diagnostics. Intelligent diagnostics of vehicles is divided into stages and shows the wide possibilities of diagnosing by the senses and knowledge of the diagnostician. It is shown that a highly qualified diagnostician can significantly reduce the complexity of diagnosis. With qualified training, experienced mechanics determine up to 70-90% of malfunctions and failures of vehicles and units using organoleptic methods and simple tests. Originality. The stages of intelligent diagnostics of vehicles are singled out and the wide possibilities of diagnosing by the human senses and knowledge of diagnostics at these stages are shown. Practical value. The results of this work are intended for wide use, for example, for drivers, maintenance services, developers of operational and technical documentation, developers involved in the improvement of technical diagnostic tools, machine learning, etc.