Fault evolution monitoring of an in-service wind turbine DFIG using Windowed Scalogram Difference
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Artiago, Estefanía; Ballester Arce, José Miguel; Bueso Sánchez, María del Carmen; Molina García, Ángel; Honrubia Escribano, Andrés; [et al.]Área de conocimiento
Ingeniería EléctricaPatrocinadores
This work was supported in part by the Council of Communities of Castilla-La Mancha under Grant SBPLY/19/180501/000287, and in part by the European Union Fondo Europeo de Desarrollo Regional (FEDER).Fecha de publicación
2021-06-18Editorial
IEEECita bibliográfica
E. Artigao, J. M. Ballester-Arce, M. C. Bueso, A. Molina-García, A. H. Escribano and E. G. Lázaro, "Fault Evolution Monitoring of an In-Service Wind Turbine DFIG Using Windowed Scalogram Difference," in IEEE Access, vol. 9, pp. 90118-90125, 2021, doi: 10.1109/ACCESS.2021.3090473.Revisión por pares
siPalabras clave
Condition monitoringCurrent signature analysis
Doubly-fed induction generator
Wavelets
Windowed scalogram difference
Wind turbine
Resumen
The rapid evolution of wind energy in reducing CO2 emissions worldwide is undeniable,
which is, in fact, expected to continue or even increase its impressive yearly capacity growth. In this regard,
optimizing operations and maintenance of wind turbines (WTs) and farms is considered to be one of the
options for reducing the levelized cost of electricity of wind energy. This can be achieved by developing
innovative condition monitoring methods. To this end, the use of the windowed scalogram difference (WSD)
algorithm, based on wavelets, is proposed as an alternative solution, combined with current signature
analysis (CSA). The electric generator is one of the major contributors to WT failure rates and downtime, and
doubly-fed induction generators (DFIGs) are the dominant technology in variable-speed WTs. In the present
work, operational data on an in-service WT DFIG are analyzed over a period of eight months, in contrast
to the majority of the studies in this field, which rely on ...
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