Cargando…
Fault Detection of Wind Turbine Electric Pitch System Based on IGWO-ERF
It is difficult to optimize the fault model parameters when Extreme Random Forest is used to detect the electric pitch system fault model of the double-fed wind turbine generator set. Therefore, Extreme Random Forest which was optimized by improved grey wolf algorithm (IGWO-ERF) was proposed to solv...
Autores principales: | Tang, Mingzhu, Yi, Jiabiao, Wu, Huawei, Wang, Zimin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469195/ https://www.ncbi.nlm.nih.gov/pubmed/34577420 http://dx.doi.org/10.3390/s21186215 |
Ejemplares similares
-
Fault Detection of Wind Turbine Gearboxes Based on IBOA-ERF
por: Tang, Mingzhu, et al.
Publicado: (2022) -
Fault Detection for Wind Turbine Blade Bolts Based on GSG Combined with CS-LightGBM
por: Tang, Mingzhu, et al.
Publicado: (2022) -
Data Fusion Based on an Iterative Learning Algorithm for Fault Detection in Wind Turbine Pitch Control Systems
por: Acho, Leonardo, et al.
Publicado: (2021) -
Structural control and fault detection of wind turbine systems
por: Karimi, Hamid Reza
Publicado: (2018) -
Temperature Compensation of Wind Tunnel Balance Signal Detection System Based on IGWO-ELM
por: Dong, Xiang, et al.
Publicado: (2023)