The Health Assessment and Prediction Algorithms Development for Electromechanical Flight Control Actuator Using Data Mining Methods

The paper proposes a general data analysis scheme for the electromechanical flight control actuator (EMA) technical state determination with health assessment and predictive algorithms using data mining methods. To assess the technical state of the EMA and form a base of precedents, which is the initial information of the data mining methods, the EMA mathematical model to be used is considered. The studies are relevant to work on the creation of an electric aircraft, which uses the technology of EMA.