Open AccessFault Detection in a Wind Turbine Hydraulic Pitch System Using Deep Autoencoder Extracted Features
Author(s) -
Panagiotis Korkos,
Jaakko Kleemola,
Matti Linjama,
Arto Lehtovaara
Publication year - 2022
Publication title -
proceedings of ... european conference of the prognostics and health management society.
Language(s) - English
Resource type - Journals
ISSN - 2325-016X
DOI - 10.36001/phme.2022.v7i1.3330
Subject(s) - autoencoder , scada , support vector machine , turbine , feature vector , artificial intelligence , pattern recognition (psychology) , computer science , feature extraction , classifier (uml) , fault detection and isolation , wind power , deep learning , engineering , mechanical engineering , electrical engineering , actuator