10.14489/td.2026.06.pp.016-023

2026, 06 June

DOI: 10.14489/td.2026.06.pp.016-023

Ushanov S. V., Barat V. A., Elizarov S. V.
APPLICATION OF AUTOREGRESSIVE MODEL TO ACOUSTIC EMISSION SIGNALS IN DIAGNOSTICS OF ROLLING BEARINGS OF POWER EQUIPMENT
(pp. 16-23)

Abstract. The paper studies the possibility of using the AE method in testing rolling bearings. It is proposed to use a combined algorithm that includes obtaining and analyzing the signal envelope spectrum and filtering using an autoregressive model. For this purpose, the parameters of the deterministic component of the initial AE signal are calculated using an autoregressive model and its decomposition is carried out, then bandpass filtering is performed in the region of the maximum spectral excess. When modeling a real defect on an experimental stand, the frequencies obtained during post-processing exactly coincide with the analytically calculated frequencies of defects. The proposed algorithm was tested on data obtained during the testing of condensate pumps of a thermal power plant.

Keywords: acoustic emission, rolling bearings, autoregressive model.

+ - About the Authors Click to collapse

S. V. Ushanov (“Interunis-IT” LLC, Moscow, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
V. A. Barat (“Interunis-IT” LLC, Moscow, Russia, National Research University “Moscow Power Engineering Institute”, Moscow, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
S. V. Elizarov (“Interunis-IT” LLC, Moscow, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

+ - References Click to collapse

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