Development of system for state prognostic of gas-turbine electrogenerating equipment elements based on combined methods of digital modeling and machine learning algorithms. In this project methodology and software system for predicting failures of gas turbine electrogenerating equipment were developed. System was tested and implemented in the work process of industrial partner "Rosseti Mobile GTES."

Project status: implemented.