INVESTIGATION OF POSSIBILITIES OF USING KERNELS OF LINEAR AR AND ARMA PROCESSES AS DIAGNOSTIC PARAMETERS OF TECHNICAL CONDITION OF ROTARY NODES OF GENERATORS OF WIND TURBINE

INVESTIGATION OF POSSIBILITIES OF USING KERNELS OF LINEAR AR AND ARMA PROCESSES AS DIAGNOSTIC PARAMETERS OF TECHNICAL CONDITION OF ROTARY NODES OF GENERATORS OF WIND TURBINE

The paper considers some methods of diagnosing the technical condition of rotating units of wind turbine generators. It is proposed to use linear processes of autoregression (AR) and auto regression-moving average (ARMA) as mathematical models of vibrations of wind turbine generator units....

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Bibliographic Details
Date:2022
Main Authors: Zvaritch, V., Glazkova, O.
Format: Article
Language:Ukrainian
Published: Institute of Renewable Energy National Academy of Sciences of Ukraine 2022
Subjects:
linear random processes
linear AR and ARMA processes
wind turbine generator
vibration diagnostics
Online Access:https://ve.org.ua/index.php/journal/article/view/332
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Journal Title:Vidnovluvana energetika

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Vidnovluvana energetika

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