The PHM (Prognostics and Health Management) is one of the most innovative technique for the prediction of the fault/failure occurence in a component through the diagnosis and its Remaining Useful Life (RUL) by the prognosis. Recently, there has been growing interest in the improvement of the requirements in terms of system performance and safety. For this purpose, the Model Predictive Control method was presented here as an effective control strategy, which uses prognostic data to extend the RUL of the component. In this Thesis, the basis for the PHM routines are provided, performing the initial step of the diagnosis, that is the fault isolation and identification, on a PMSM linear electromechanical actuator (EMA).