
Outlier Detection in Wind Turbine Frequency Converters Using Long-Term Sensor Data
Author(s) -
Nils Schwenzfeier,
Markus Heikamp,
Ole Meyer,
Andre Hönnscheidt,
Michael W. Steffes,
Volker Gruhn
Publication year - 2022
Publication title -
proceedings of the ... aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v36i11.21533
Subject(s) - wind power , computer science , outlier , anomaly detection , reliability (semiconductor) , turbine , reliability engineering , fault (geology) , renewable energy , grid , fault detection and isolation , data set , data mining , energy (signal processing) , set (abstract data type) , real time computing , converters , power (physics) , artificial intelligence , engineering , electrical engineering , voltage , actuator , statistics , physics , geometry , mathematics , quantum mechanics , seismology , geology , programming language , mechanical engineering