Comparison of Efficiency of Feature Extraction Methods in the Early Diagnostics of Technical Objects Using Methods of Data Mining

The report discusses the problem of early diagnosis and classification of the technical condition of the aircraft assembly. The main purpose of the report is to compare the types of methods for analyzing vibration signals - the Fast Fourier Transform and the family of wavelet transformations - to assess their effectiveness in solving the problem of classifying the technical condition of the helicopter gearbox.