Sensor-error-robust normal-behavior modeling for wind turbine drive train failure prediction using a masked autoencoder
<p>Condition monitoring and failure prediction in wind turbines have become an increasingly important research area due to their substantial economic impact. Accurate early detection of developing faults enables more efficient maintenance planning and minimizes costly downtime. However, predicting f...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Copernicus Publications
2026-04-01
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| Series: | Wind Energy Science |
| Acceso en liña: | https://wes.copernicus.org/articles/11/1163/2026/wes-11-1163-2026.pdf |
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