DIAGNOSIS ELECTROMECHANICAL PART OF WIND TURBINES

The development and realization results of the embedded system of monitoring and forecasting of the technical state of the electromechanical part of wind-driven electrical plants are presented. The synthesis method of algorithms of plants state efficient diagnosis on the basis of neuro-fuzzy processes identification in an electric machine and a frequency converter is presented. Hardware on the basis of smart sensors and computer modeling results of wind-driven electric plants work under operation in different modes including compound autonomous power-suppliers are suggested. System questions of plants monitoring within the limits of Smart Grid concept are considered.