THE DEVELOPMENT AND IMPLEMENTATION OF INTELLIGENT SYSTEMS FOR ELECTRICAL EQUIPMENT STATE DIAGNOSTICS
One of the main research fields of the Power Engineering and Automated Systems Institute research teams of Nosov Magnitogorsk State Technical University (NMSTU) is the development of continuous monitoring and state diagnostic systems for electrical equipment of metallurgical facilities. The technological defect diagnostic principle for slab continuous casting machines was considered on the basis of analysis of heat exchange process characteristics between the working face of the mould walls and the ingot. The diagnostic method of equipment for electric motor load current regulation was also considered. The article shows the functional flow diagram of transformer state continuous control system of ultra-high power electric arc furnaces. This control system was implemented in the electric furnace shop of OJSC «MMK». The analysis of the technical state monitoring system of the group electric drive induction motors at the rolling table sections of the 5000 rolling mill was carried out. A new method was offered for induction motor technical state monitoring using the generalized current vector in starting conditions. The research team carried out the comparative analysis of experimentally measured current spectral recording and justified the application of continuous wavelet transformation of the generalized current vector.