Early Detection and Diagnosis of Wind Turbine Abnormal Conditions Using an Interpretable Supervised Variational Autoencoder Model

The operation and maintenance of wind turbines benefit from reliable information on the wind turbine condition. Data-driven models use data from the supervisory data acquisition system. In particular, great performance is reported for artificial intelligence models. However, the lack of interpretabi...

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Vydané v:	Energies (Basel) Ročník 16; číslo 12; s. 4544
Hlavní autori:	Oliveira-Filho, Adaiton, Zemouri, Ryad, Cambron, Philippe, Tahan, Antoine
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.06.2023
Predmet:	Air-turbines Analysis Bearings Case studies condition monitoring diagnosis early detection False alarms Photovoltaic cells Preventive maintenance SCADA data Turbines variational autoencoder Visualization wind turbine Canada
ISSN:	1996-1073, 1996-1073
On-line prístup:	Získať plný text
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