Open AccessWind turbine generator prognostics using field SCADA data
Author(s) -
Rudolph Peter,
Donatella Zappalá,
Verena Schamboeck,
Simon Watson
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2265/3/032111
Subject(s) - scada , prognostics , turbine , autoregressive integrated moving average , wind power , reliability engineering , steam turbine , time series , engineering , autoregressive model , anomaly detection , computer science , automotive engineering , data mining , statistics , aerospace engineering , mathematics , electrical engineering , mechanical engineering , machine learning