Open AccessApplication of Automated Machine Learning (AutoML) Method in Wind Turbine Fault Detection
Author(s) -
Noor Fazliana Fadzail,
Samila Mat Zali,
E C Mid,
R Jailani
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2312/1/012074
Subject(s) - stator , fault detection and isolation , fault (geology) , artificial neural network , rotor (electric) , turbine , matlab , wind power , engineering , computer science , machine learning , artificial intelligence , control theory (sociology) , control engineering , electrical engineering , mechanical engineering , control (management) , seismology , geology , actuator , operating system