A rolling bearing is the most common element of any rotary mechanism design and, at the same time, the most vulnerable element that determines the operability and the durability of equipment. The purpose of the work is to develop the method of bearing condition control by vibration parameters on the basis of scale graph comparison of a continuous wavelet analysis.The goal is achieved by the solution of the following tasks: to determine informative criteria that allow to detect the bearing defects by the analysis of its vibration; to develop the algorithm of bearing defect detection by the parameters of their vibrations, which make it possible to control products in automatic mode.They performed the simulation of whole and defective rolling bearing signals by the synthesis of frequency components characteristic for defects.The correlation coefficient of spectra and the rank correlation of Spearman's spectra were used in the work for spectrum comparison. The comparison of the scaling graphs obtained by continuous wavelet transformation was carried out using PSNR metric.The approach is suggested in order to separate the bearings into "defect-free" or "defective" S. E. Rinatovich et al. J Fundam Appl Sci. 2017, 9(2S), 957-971 958 estimate p is calculated; the variance estimate S is calculated as the median of absolute deviations with respect to a position estimate; a confidence interval is developed for a given level of significance  . The bearings with comparison results that fall within the confidence interval are considered defect-free ones, and the ones that didn't fall within this interval are considered as defective.

The control of production processes, the quality of machine and mechanism assembly during their manufacture and during the repair period saves labor time and labor costs. Analysis of statistical data on equipment failures in various industries has shown that a large number of failures is conditioned by rolling bearings. The solution of bearing early diagnosis problem will predict reasonably the failure-free operation of the equipment in accordance with the actual condition of the bearing units. The purpose of the study is to develop the method and an information and measuring system to monitor the technical condition of bearings based on vibration parameters based the comparison of scaling graphs of continuous wavelet analysis. The results of vibration acoustic signals of rolling bearings are presented with the use of wavelet transformations, the scaling graphs of signals from rolling bearings with various defects are obtained and analyzed experimentally. The method for bearing monitoring is proposed, which makes it possible to automate the process of defect detection and to increase the resolving power during vibrationacoustic control performance. The result of the study showed that the application of analysis algorithms with the use of wavelet transformation allows to detect the defects of rolling bearings at an early stage of nucleation. Implemented by the proposed control methodology, the measuring system can be used both as in-built into a monitored system and in a mobile version.