Algorithms for Informative Features Extraction in the Problem of Data Mining on Item Related State Evaluation

The algorithms for informative features extraction in the task of data mining on item related state evaluation have been considered in the report by way of example of evaluating and forecasting the technical status (early diagnosis task) of unmanned aerial vehicle electric motor where the reporting set of controlled variable values is applicable to a certain class or hazard level.