Bench testing of algorithms for diagnosing rolling bearings of the on-board diagnostic system and forecasting the service life of the main and auxiliary components of the MCRSU

Abstract

The experimental study of bearing vibration and use of the fast Fourier transformation (FFT) as an intelligent tool for diagnosing and identifying bearing defects of motor car rolling stock units (MCRSU) is presented. It is shown that the use of new means of technical diagnostics due to the detection of malfunctions at an early stage of their development reduces the cases of violations of the normal operation of cars and rolling stock. The article presents the results of vibration diagnostics of rolling bearings on the stand, spectral characteristics are obtained for bearings with rolling body defects, internal track and external track. During the bench tests, a specially developed intelligent vibration sensor was used as a vibration sensor, consisting of a sensitive element, a vibration accelerometer, the necessary interfaces and an analogdigital converter. The radial arrangement of sensors in diagnostic systems in repair depots and on-board systems makes it difficult to diagnose defects associated with the appearance of defects under the influence of axial loads, primarily separator defects. Bench tests using intelligent sensors and cloud services on the Internet showed the possibility of creating a mobile system for diagnosing the technical condition of bearing units of motor-car rolling stock and freight car units.