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Long-Term Operational Data Analysis of an In-Service Wind Turbine DFIG

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Long-Term Operational Data Analysis of an In-Service Wind Turbine DFIG

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Artigao, E.; Sapena-Bano, A.; Honrubia-Escribano, A.; Martinez-Roman, J.; Puche-Panadero, R.; Gómez-Lázaro, E. (2019). Long-Term Operational Data Analysis of an In-Service Wind Turbine DFIG. IEEE Access. 7:17896-17906. https://doi.org/10.1109/ACCESS.2019.2895999

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/141971

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Title: Long-Term Operational Data Analysis of an In-Service Wind Turbine DFIG
Author: Artigao, Estefania Sapena-Bano, Angel Honrubia-Escribano, Andrés Martinez-Roman, Javier Puche-Panadero, Rubén Gómez-Lázaro, Emilio
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica
Issued date:
Abstract:
[EN] While wind turbine (WT) power capacities continue to increase and new offshore developments are being deployed, operation and maintenance (O&M) costs continue to rise, becoming the center of attention in the wind ...[+]
Subjects: Doubly fed induction generators , Harmonic analysis , Stators , Maintenance engineering , Rotors , Current measurement , Wind turbines , Condition monitoring , Current signature analysis , DFIG , HOTA , Wind turbine
Copyrigths: Reserva de todos los derechos
Source:
IEEE Access. (eissn: 2169-3536 )
DOI: 10.1109/ACCESS.2019.2895999
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/ACCESS.2019.2895999
Project ID:
info:eu-repo/grantAgreement/EC/H2020/642108/EU/Advanced Wind Energy Systems Operation and Maintenance Expertise/
Description: (c) 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Thanks:
This work was supported in part by the Agreement signed between the UCLM and the Council of Albacete to promote research in the Campus of Albacete, and in part by the European Union Horizon 2020 Research and Innovation ...[+]
Type: Artículo

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