To improve the quality of bearing rings, modern production strives to apply new modern methods for detecting defects based on the causes of their occurrence, as well as to introduce quality control systems by creating specialized software. An accurate assessment of the dynamic properties of bearings is very important for machines and helps to avoid serious mechanical damage. As part of the experiments, the main control methods were considered and the most effective one was established - eddy current control, which has a number of advantages compared to others. To prevent the occurrence of defective products in the control system, the fractal dimension method was considered and a neural network was built to solve the tasks of diagnosing.

Keywords: defect diagnosis, bearings, neural networks, automated control, fractal dimension, SVD filtering, Matlab software, monitoring system.