The Paton Welding Journal, 2023, №04



2023 №04 (05)

DOI of Article 10.37434/tpwj2023.04.06

2023 №04 (07)

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The Paton Welding Journal, 2023, #4, 45-53 pages

Diagnostics of gear pair damage using the methods of biperiodically correlated random processes. Part 2. Investigation of vibration signals of the wind power generator gearbox

R.M. Yuzefovych², I.M. Javorskyj³, O.V. Lychak¹, G.R. Trokhym¹, M.Z. Varyvoda¹, P.O. Semenov⁴

¹G.V. Karpenko Physico-Mechanical Institute of NASU. 5 Naukova str., 79060, Lviv, Ukraine. Е-mail: roman.yuzefovych@gmail.com
²Bydgoszcz University of Sciences and Technology. 7, Prof. S. Kaliskiego al., 85796, Bydgoszcz, Poland.
³Lviv Polytechnic National University. 12 S. Bandery str., 79000, Lviv, Ukraine.
⁴Odessa National Maritime University. 34 I. Mechnikova str., 65029, Odesa, Ukraine.

Abstract
The results of processing the vibration signals of the wind power generator gearbox are given. The model of vibration in the form of bi-periodically correlated random processes (BPCRP), which describes its stochastic repeatability with two different periods, is considered. Least squares (LS) estimates of the periods of the deterministic part of the vibration signal and the temporal changes of power of its stochastic part were obtained. The amplitude spectra of deterministic oscillations and dispersion of stochastic oscillations for different degrees of gearbox damage were analyzed. The most effective indicators of defect development, which are formed on the basis of amplitude spectra, are proposed for practical use. The correlation structure of the stochastic vibration component of the wind turbine gearbox was analyzed. 20 Ref., 1 Tabl., 16 Fig.
Keywords: wind power generator gearbox, vibration, periodical non-stationarity, deterministic oscillations, correlation function, defect development indicator

Received: 01.02.2023
Accepted: 25.05.2023

References

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Suggested Citation

R.M. Yuzefovych, I.M. Javorskyj, O.V. Lychak, G.R. Trokhym, M.Z. Varyvoda, P.O. Semenov (2023) Diagnostics of gear pair damage using the methods of biperiodically correlated random processes. Part 2. Investigation of vibration signals of the wind power generator gearbox. The Paton Welding J., 04, 45-53.

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