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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-8ccd4db2-f4f1-4567-a2a8-7015f2c1f9d1

Czasopismo

Diagnostyka

Tytuł artykułu

Diagnosis of wind turbine misalignment through SCADA data

Autorzy Astolfi, D.  Castellani, F.  Scappaticci, L.  Terzi, L. 
Treść / Zawartość
Warianty tytułu
Języki publikacji EN
Abstrakty
EN Optimal alignment of wind turbines to the wind direction is a crucial condition for the quality of power output and for the health of the turbines. Actually, bad alignment can cause degraded performances and dangerous loads that can affect, on the long run, the mechanical safety of the wind turbine. Supervisory Control And Data Acquisition (SCADA) systems are becoming widespread in modern wind energy technology because of the appreciable costs – benefits ratio. The common time scale of SCADA, yet, usually is not effective for misalignment diagnosis because the wind varies too rapidly. For this reason, misalignment is often diagnosed using ad hoc techniques as LIDAR-based or spinner anemometers. In the present work, it is shown that very useful indications for the diagnosis of misalignment can be obtained also from the SCADA data, without invoking expensive supplementary control techniques. The method is validated on the data set of a wind farm sited in Italy.
Słowa kluczowe
PL energia wiatru   turbina wiatrowa   SCADA   system kontroli   diagnostyka uszkodzeń  
EN wind energy   wind turbine   SCADA system   fault diagnosis  
Wydawca Polskie Towarzystwo Diagnostyki Technicznej
Czasopismo Diagnostyka
Rocznik 2017
Tom Vol. 18, No. 1
Strony 17--24
Opis fizyczny Bibliogr. 45 poz., rys., tab., wykr.
Twórcy
autor Astolfi, D.
autor Castellani, F.
autor Scappaticci, L.
autor Terzi, L.
Bibliografia
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Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Kolekcja BazTech
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