A WAVELET BASED FLIGHT DATA PREPROCESSING METHOD FOR FLIGHT CHARACTERISTICS ESTIMATION AND FAULT DETECTION

摘要

This paper proposes a new flight data preprocessing method, which add time series data to flight phase indexes. In addition, the method outputs values representing correlation strength among different types of data. The generated information will greatly supports flight characteristics estimation and fault detection, whose performance quite depend on the quality of their input flight data. The effectiveness of the proposed method is demonstrated with these two applications by using the real flight data obtained with fixed-wing aircraft.