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REGRESSION ANALYSIS OF THE COEFFICIENTS OF THE LOSS OF VIBRATIONAL ENERGY WHEN CALCULATING THE NOISE FROM OSSETIAN AND BORING MACHINES
Author(s) -
А Е Шашурин,
Marat Goguadze,
Alexander Chukarin
Publication year - 2019
Publication title -
akustika
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.162
H-Index - 7
eISSN - 2570-8775
pISSN - 1801-9064
DOI - 10.36336/akustika20193495
Subject(s) - noise (video) , regression analysis , regression , statistics , linear regression , mathematics , acoustics , energy (signal processing) , physics , computer science , artificial intelligence , image (mathematics)
The purpose of this analysis is to approximate the analytical dependences which allow to calculate the vibrational energy loss coefficient at any frequency when calculating the noise from the axle lathe and boring machines. A regression analysis was conducted using the method of least squares. The paper presents the results of the regression coefficient calculations. The dependences obtained allow us to determine the loss coefficient value not only at the geometric mean frequencies of the octave spectrum, but also at the natural frequencies of oscillations.

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