Early Fault Diagnosis Strategy for WT Main Bearings Based on SCADA Data and One-Class SVM

To reduce the levelized cost of wind energy, through the reduction in operation and maintenance costs, it is imperative that the wind turbine downtime is reduced through maintenance strategies based on condition monitoring. The standard approach toward this challenge is based on vibration monitoring...

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Autors principals:	Christian Tutivén, Yolanda Vidal, Andres Insuasty, Lorena Campoverde-Vilela, Wilson Achicanoy
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-06-01
Col·lecció:	Energies
Matèries:	anomaly detection condition-based maintenance condition monitoring fault diagnosis main bearing one-class support vector machine
Accés en línia:	https://www.mdpi.com/1996-1073/15/12/4381
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Early Fault Diagnosis Strategy for WT Main Bearings Based on SCADA Data and One-Class SVM

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