This paper presents a methodology for creating a soft sensor for predicting the bearing wear of electrical machines. The technique is based on a combination of Park vector methods and a classifier based on an artificial neural network (ANN‐classifier). Experiments are carried out in la-boratory conditions on an asynchronous motor of AIR132M4 brand. For the experiment, the inner rings of the bearing are artificially degraded. The filtered and processed data obtained from the installation are passed through the ANN‐classifier. A method of providing the data into the classi-fier is shown. The result is a convergence of 99% and an accuracy of 98% on the test data.

The paper discusses the method of identifying the technical condition of induction motors by classifying the energy data coming from the main common power bus. The work shows the simulation results of induction motor operation. The correlation between occurring defects and current diagrams is presented. The developed simulation model is demonstrated. The general algorithm for conducting experiments is described. Five different experiments to develop an algorithm for the classification are conducted: determination of the motors number in operation with different power; determination of the motors number in operation with equal power; determination of the mode and load of induction electric motor; determination of the fault and its magnitude with regard to operation and load of induction motor; determination of the fault and its magnitude with regard to operation and load of induction motor with regard to non-linear load in the flow. The article also presents an algorithm for preprocessing data to solve the classification problem. In addition, the classification results are shown and recommendations for testing and using the classification algorithm on a real object are made.

In the article the process of destruction of the array of Cambrian clays by cutting, as a dynamic contact problem of mechanics, solved with using the software environment ANSYS Worbench, is observed. The obtained results are verified on a laboratory bench setup with experimental investigations. Analysis of the results of computational and laboratory experiments shows that in the framework of theoretical and experimental approach to solving problems of continuum mechanics, as an integral part of the basic research a finite element method can be used, which lets adequately and with sufficient accuracy to determine the power and energy indicators of process of destruction of the clay arrays by cutting. A characteristic feature of the process of destruction of flooded Cambrian clays is significant plastic deformation of rocks at the contact with the cutter. The separation of the elements of destruction from the array occurs under the action of shearing stress by the formation of shear cracks. High viscosity of arrays of Cambrian clays defines a large share of energy consumption on their destruction, comparable in value to the energy intensity of the process of cutting of hard coal and salt rocks. The use of computer simulation can significantly reduce the duration and increase the accuracy of design calculations at designing of the actuating devices of mining machines.