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Methods for assessing a vehicle technical condition using vibration diagnostics

https://doi.org/10.17586/0021-3454-2022-65-4-287-294

Abstract

The advantages and disadvantages of existing methods for assessing the technical condition of vibration diagnostics of electrical equipment are considered. Available means of measuring vibration processes are reviewed, and the spectra of vibration amplitudes of transport engines are examined. The analysis shows that when searching for the limiting values of the characteristic function modulus for the instantaneous values of vibroacoustic signals that correspond to different states of the controlled object, the use of statistical methods, in particular the method of minimal risks, is required. This allows to find the threshold values of the signs of diagnosis based on the assessment of the risks of making a decision. In the course of the analysis of the vibro-acoustic signal, the characteristic function of instantaneous values is used. The probability density of the values of the function modulus is studied by the most accurate method of the minimum number of erroneous decisions.

About the Authors

V. L. Tkalich
ITMO University
Russian Federation

Vera L. Tkalich — Dr. Sci., Professor; ITMO University, Faculty of Secure Information Technologies.

St. Petersburg



M. E. Kalinkina
ITMO University
Russian Federation

Mariia E. Kalinkina — Undergraduate Student; ITMO University, Faculty of Secure Information Technologies.

St. Petersburg



A. G. Korobeynikov
ITMO University; Pushkov Institute of Terrestrial Magnetism, Ionosphere, and Radio Wave Propagation of the RAS
Russian Federation

Anatoly G. Korobeynikov — Dr. Sci., Professor; ITMO University, Faculty of Secure Information Technologies; Pushkov Institute of Terrestrial Magnetism, Ionosphere, and Radio Wave Propagation of the RAS, St. Petersburg Branch; Deputy Director for Research.

St. Petersburg



O. I. Pirozhnikova
ITMO University
Russian Federation

Olga I. Pirozhnikova — PhD; ITMO University, Faculty of Secure Information Technologies.

St. Petersburg



S. V. Bibikov
ITMO University
Russian Federation

Sergey V. Bibikov — PhD; ITMO University, Faculty of Secure Information Technologies.

St. Petersburg



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For citations:


Tkalich V.L., Kalinkina M.E., Korobeynikov A.G., Pirozhnikova O.I., Bibikov S.V. Methods for assessing a vehicle technical condition using vibration diagnostics. Journal of Instrument Engineering. 2022;65(4):287-294. (In Russ.) https://doi.org/10.17586/0021-3454-2022-65-4-287-294

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ISSN 0021-3454 (Print)
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