Methodology for digital processing of vibration signals in MATLAB when comparing methods of attaching an accelerometer

Abstract

The article developed and tested a method of digital processing of vibration signals in the MATLAB environment, with a comparative assessment of the methods of attaching the accelerometer. Experimental studies were conducted on an asynchronous electric motor at rotational speeds of 287, 574, and 861 rpm. The vibration acceleration was recorded simultaneously on three channels, with the accelerometer attached via a eyebolt, using a magnetic base, and directly mounted on the magnetic base. The method includes checking the time scale, removing the constant component, band-pass filtering in the 2–200 Hz range, calculating time indicators, fast Fourier transformation, estimating the spectral power density using the Welch method, determining the band-pass root mean square values, performing harmonic analysis of the rotational frequency, and evaluating the coherence of the signals. It was found that at a rotational speed of 287 rpm, the root mean square values of the vibration acceleration for the three installation options diff er slightly. At 574 rpm, the root mean square values of the vibration acceleration do not differ significantly.