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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&nbsp;regression-moving average (ARMA) as mathematical models of vibrations of wind turbine generator uni...

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Datum:	2022
Автори та афіліації:	V. Zvaritch — DScTech, Leading researcher at the Institute of Renewable Energy NAS of Ukraine, Kyiv, Ukraine. O. Glazkova — 2 Leading engineer of the Institute of Renewable Energy NAS of Ukraine, Kyiv, Ukraine
Ключові слова:	keywords
Hauptverfasser:	Zvaritch, V., Glazkova, O.
Format:	Artikel
Sprache:	Ukrainisch
Veröffentlicht:	Institute of Renewable Energy National Academy of Sciences of Ukraine 2022
Schlagworte:	linear random processes linear AR and ARMA processes wind turbine generator vibration diagnostics
Online Zugang:	https://ve.org.ua/index.php/journal/article/view/332
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Назва журналу:	Vidnovluvana energetika
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