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

• Date: 2022
• Author Affiliations: 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
• Keywords: keywords
• 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
• Journal Title: Vidnovluvana energetika

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 uni...