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...

Full description

Saved in:

Bibliographic Details
Published in:	Energies (Basel) Vol. 16; no. 12; p. 4544
Main Authors:	Oliveira-Filho, Adaiton, Zemouri, Ryad, Cambron, Philippe, Tahan, Antoine
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.06.2023
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!