Feature Selection Algorithms for Forecasting Technical Condition of Electromechanical Actuator

This paper concerns the problem of searching for informative features to forecast the technical condition of an electromechanical actuator using the time series analysis technique. Algorithms have been suggested based on the optimization models enabling to find ranges of stationary signal spectrum integration providing maximal quality indicators of the trend.