Abstract
The article is devoted to researching of application efficiency of acoustic signals digital processing methods for the electromechanical systems (EMS) functional diagnostics in real time. The steps according to which it is necessary to carry out the analysis of the acoustic signals generated during operation of EMS for construction and adjustment of functional diagnostics systems are offered. The primary task is to study the statistical properties of acoustic signals. The next step is spectral analysis of acoustic signals. In the process of acoustic signal conversion after its hardware processing, the limits of the informative part of the signal are determined on the basis of spectral analysis based on Fourier transform of the signal. It is proposed to use logic-time processing based on the estimation of the normalized energy spectrum and spectral entropy to determine the frequency range of the informative part of the signal. The expediency of using the autoregressive model of the moving average as an acoustic signal model is substantiated. The problem of building mathematical models on the basis of which it is possible to adequately identify the intensity of work and the state of the equipment is solved. The procedure for identifying the parameters of the signal model by the recurrent least squares method is given, which allows to analyze the state of the equipment in real time. It is proposed to use multiple-scale analysis to speed up the process of signal analysis and reduce the amount of calculations.
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Rudakova, H., Polyvoda, O., Kondratieva, I., Polyvoda, V., Rudakova, A., Rozov, Y. (2022). Research of Acoustic Signals Digital Processing Methods Application Efficiency for the Electromechanical System Functional Diagnostics. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 77. Springer, Cham. https://doi.org/10.1007/978-3-030-82014-5_23
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