1. The prediction of the residual life of electromechanical equipment based on the artificial neural network;Zhukovskiy;IOP Conf. Series: Earth and Environmental Science,2017
2. Development of the sensorless control system BLDC motor Proceedings of the 2017;Zhiligotov;IEEE Russia Section Young Researchers in Electrical and Electronic Engineering Conference, ElConRus 2017,2017
3. Identification of the protection parameters of the local electrical network taking into account the detuning of the inrush current;Frolov,2018
4. Development of a sensorless vector control system for permanent magnet synchronous motors in Matlab Simulink;Frolov;Notes of the Mining Institute,2018
5. About increasing informativity of diagnostic system of asynchronous electric motor by extracting additional information from values of consumed current parameter;Zhukovskiy;Journal of Physics: Conference Series,2018