The article is devoted to the issues of accounting for various production disturbances that affect the temperature field in the drying chamber. The nature and nature of disturbances affecting the change in chamber temperature are taken into account using statistical methods for processing temperature curves over time. The temperature field in the plane of sensor installation was considered.In practice, the electrical model of the temperature field of the drying chamber can be represented as a three-dimensional grid, and the nature of the temperature field can be judged from the distribution of potentials at the corresponding grid nodes. By changing the grid parameters, it is possible to determine the appropriate temperature regimes for different materials and types of impregnations.
Keywords: temperature, statistical methods, drying chamber, autocorrelation function, spectral density, amplitude-phase characteristic