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.

The problem of recognition of defects in the surface layer of polished raceways of bearing rings according to the fractal dimension of the signals of the eddy current sensor is considered

Keywords: fractal dimension, defect recognition, recognition algorithm

The issue of quality, reliability and safety of the final products is under consideration. Process approach is the base of quality control system, and mon-itoring program is regarded for illustrative purposes.

Keywords: Quality, processor approach, quality management, monitoring