The research is dedicated to the development of special devices (capsules) that can be used to control the mining ore behavior in the technological unit in order to increase processes efficiency. In the first part of the article, the choice of the discrete element method for gen-erating various particle trajectories in the unit (drum pelletizer) was substantiated. This part describes the specific technologies that were used to recognize the pelletizing mode. In par-ticular, conversation of paths to sensor readings is implemented using the Matlab Sensor Fusion and Tracking Toolbox. The obtained readings were processed using two neural network classifiers (DNN and LSTM). As a result, stable models for recognizing the pelletizing modes of the unit were obtained. LSTM recognition accuracy is greater than DNN. The developed approach can be used to recognize the operating modes of other technological units. In addition, data on particles trajectories can be used to improve DEM models of technological processes. Future work consists of the capsule physical implementation and testing the recognition algorithm on a real unit.

The causes of failure of the tangential rotary cutter bits of the road header during stonedrift in rocks of medium strength are analyzed in the article. It was revealed that the most typical cause of failure of cutter bits is premature wear of the toolholder (body) of the cutter bit. It is well known that the most effective way to improve the wear resistance is to increase hardness. The influence of the thermomechanical treatment of the material of the cutter bit toolholder on its hardness is studied. It was established that the thermomechanical treatment of the cutter bit toolholder material results in the increase of its hardness. It was found that the increase of material hardness is proportional to the increase of material strain intensity during thermomechanical treatment. It was concluded that the use of thermomechanical treatment can lead to the increase of both the hardness and wear resistance of the cutter bit material.

Present article is dedicated to the analysis of problems of the oil industry of Russia and is aimed at the development of a mechanism for its growth. The research is based on the results of the economic analysis that has been carried out on the basis of statistical data from the government and major oil companies as well as on the basis of analytical reports of independent companies. Among the main identified problems of the oil refining industry it can be mentioned following problems: insufficient volumes of raw material processing, lack of refinery capacities, remote location of oil extraction and refinery plants from the end users and unbalanced tax system in the industry. Specified problems are being solved on the level of companies and the state that brings results, however, there is no clear development mechanism of the oil refining industry so far. The authors suggest a development scheme for the Russian oil refining industry implying cooperation of businesses and the state. The implementation of the proposed scheme will ensure the investments for the extension of production and obtaining a product with a higher added value as well as increasing the competitiveness of the Russian oil products.