Fault Diagnosis and Reconstruction of Wind Turbine Anemometer Based on RWSSA-AANN
When the state of the wind turbine sensors, especially the anemometer, appears abnormal it will cause unnecessary wind loss and affect the correctness of other parameters of the whole system. It is very important to build a simple and accurate fault diagnosis model. In this paper, the model has been...
Guardado en:
Autores principales: | Ling Zhou, Qiancheng Zhao, Xian Wang, Anfeng Zhu |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/3d2cefc4a313421a98ef107165d3e8c7 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Fault-Tolerant Cooperative Control of Large-Scale Wind Farms and Wind Farm Clusters
por: Saeedreza Jadidi, et al.
Publicado: (2021) -
Review and Perspectives of Machine Learning Methods for Wind Turbine Fault Diagnosis
por: Mingzhu Tang, et al.
Publicado: (2021) -
A Novel Sparrow Search Algorithm for the Traveling Salesman Problem
por: Changyou Wu, et al.
Publicado: (2021) -
Fault Diagnosis Methods Based on Machine Learning and its Applications for Wind Turbines: A Review
por: Tongda Sun, et al.
Publicado: (2021) -
Fault Detection and Condition Monitoring of PMSGs in Offshore Wind Turbines
por: Nuno M. A. Freire, et al.
Publicado: (2021)