A PCC-Ensemble-TCN model for wind turbine icing detection using class-imbalanced and label-missing SCADA data

A PCC-Ensemble-TCN model for wind turbine icing detection using class-imbalanced and label-missing SCADA data

Blade icing problems are ubiquitous for wind turbines located in cold climate zones. Data-driven indirect icing detection methods based on supervisory control and data acquisition system have shown strong potential recently. However, the supervisory control and data acquisition data is annotated thr...

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Detalles Bibliográficos
Autores principales: Shenyi Ding, Zhijie Wang, Jue Zhang, Fang Han, Xiaochun Gu, Guangxiao Song
Formato: article
Lenguaje:EN
Publicado: SAGE Publishing 2021
Materias:
Electronic computers. Computer science
QA75.5-76.95
Acceso en línea:https://doaj.org/article/c51852bee0c64b43b7cb1b64a10bd6f7
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