OBRABOTKAMETALLOV Vol. 26 No. 3 2024 technology frequencies (Fig. 4) in the range of 20÷200 Hz: ω0 = 25 Hz – harmonic, a multiple of the frequency of passage of the cutting edges; ω1 = 50 Hz, which corresponds to the cutting frequency modulated by the revolutions of a two–tooth cutter; resonant frequency ω2 = 100 Hz, which should be interpreted as the tool outrun. Thus, the results of acoustic signal processing made it possible to establish a pronounced low-frequency region of 20÷200 Hz, the use of which contributes to a more accurate identification and analysis of acoustic characteristics associated with the cutting process. This is especially important for VA diagnostics, where the accuracy and detail of the analysis can make a significant difference in identifying and diagnosing potential problems. Also in this study, different windows for filtering audio signals are considered. The use of various window functions during filtering allows optimizing the process of extracting a useful signal from the total mass of data. The results of the window functions that were used in this study are presented in Fig. 5. a b c d e f Fig. 5. The spectrum of signals of the passage of the milling cutter cutting edges through the processing zone after the application of window functions, recorded in the form of: a, c, e – vibration acceleration; b, d, f – acoustic signal; a, b – Hanning window; c, d – Hamming window; e, f – Blackman window
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