Abstract: The paper describes a model and an algorithm for assessing the residual life of electromechanical equipment. An asynchronous gear drive was used as a control object. The residual life assessment was carried out on the basis of a comprehensive analysis of vibration data (from a gear drive) and the current consumed by an induction motor. Vibration velocity, vibration acceleration and current in the phases of the stator winding of the drive electric motor are distinguished as diagnostic signs. From the selected
diagnostic features, the coefficients of the discrete wavelet transform are calculated (using the mother Daubechies wavelet, 8
decomposition levels). After that, diagnostic features are identified: RMS and Peak (maximum) values of each of the wavelet
coefficients and the entire signal (general level) for each diagnostic feature. The paper presents the development and testing of a
model and an algorithm for assessing the residual resource based on the analysis of the most sensitive diagnostic signs to the
occurrence and development of faults. In laboratory conditions, data were obtained on the change in the identified diagnostic signs in
the absence of lubrication in the gear reducer. The paper shows the possibility of increasing the efficiency of assessing the residual
life of electromechanical equipment by using a comprehensive analysis of current and vibration. A feature of the proposed model and
algorithm is the ability to conduct an assessment under conditions of changing operating modes and external loads, which is most important for railway equipment. Thus, on the laboratory bench, the results of the residual life assessment were obtained with a reliability of up to 96%.
Index terms: non-destructive testing, diagnostics, electric drive, residual life.