MATHEMATICAL MODEL OF AUTOMATION OF THE PROCESS OF DIAGNOSING DRIVING BRIDGES OF KAMAZ CARS

Abstract

To ensure the efficient operation of vehicles, first of all it is necessary to have continuous and safe operation of their units by improving the reliability and quality of diagnosis. The drive axle of the car is an important unit that is designed to transmit torque from the engine to the wheels of the vehicle. Transmission units must operate in all modes of operation of the vehicle. Loss of serviceability of the drive axle leads to loss of serviceability of the car as a whole. In this regard, the technical condition of this unit must be subject to increased requirements, and it is necessary to conduct systematic monitoring, which gives a clear idea of the current technical condition of the drive axle and the ability to predict the failure of this transmission unit. The existing methods and tools for diagnosing of driving truck axles do not fully determine their current technical condition, which requires the development of mathematical models to automate the process of diagnosing their components and parts was found іn the analysis of literature sources. Mathematical model of automation of the process of diagnosing of driving axles of KAMAZ cars is presents in the article. Replacing real technical devices with their idealized models allows the widespread use of various mathematical methods. In this case, the drive axle of the KamAZ cars, as the object of diagnosis, is presented in the form of a «black box», the input and output parameters of which have a finite set of values. In general, the mathematical model is a system of functional relationships between each diagnostic signal and structural parameters. For driving axles of KAMAZ cars, a diagnostic matrix has been compiled, which includes a list of faults and signs of faults. It is determined that the process of diagnosis based on the model of the diagnostic object is possible if the inverse transformation of the number of signs of malfunctions into the number of structural parameters (malfunctions) of the object was unambiguous. The proposed mathematical model of automation of the process of diagnosing of driving axles of KAMAZ cars will detect faults of components and parts depending on their characteristics.