Articles | Volume 8, issue 4
https://doi.org/10.5194/wes-8-557-2023
https://doi.org/10.5194/wes-8-557-2023
Research article
 | 
14 Apr 2023
Research article |  | 14 Apr 2023

Anomaly-based fault detection in wind turbine main bearings

Lorena Campoverde-Vilela, María del Cisne Feijóo, Yolanda Vidal, José Sampietro, and Christian Tutivén

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Latest update: 18 Jul 2024
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Short summary
In order to provide early warnings of faults in the main bearing, a fault detection system is developed by applying an anomaly detector based on principal component analysis. Without the need to obtain the fault history or install additional equipment or sensors that would require a larger investment, this model is constructed using only healthy supervisory control and data acquisition (SCADA) data. The results obtained enable failure detection even months before the fatal breakdown takes place.
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