Cargando…
Fault Detection for Wind Turbine Blade Bolts Based on GSG Combined with CS-LightGBM
Aiming at the problem of class imbalance in the wind turbine blade bolts operation-monitoring dataset, a fault detection method for wind turbine blade bolts based on Gaussian Mixture Model–Synthetic Minority Oversampling Technique–Gaussian Mixture Model (GSG) combined with Cost-Sensitive LightGBM (C...
Autores principales: | Tang, Mingzhu, Meng, Caihua, Wu, Huawei, Zhu, Hongqiu, Yi, Jiabiao, Tang, Jun, Wang, Yifan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505918/ https://www.ncbi.nlm.nih.gov/pubmed/36146110 http://dx.doi.org/10.3390/s22186763 |
Ejemplares similares
-
Fault Detection of Wind Turbine Electric Pitch System Based on IGWO-ERF
por: Tang, Mingzhu, et al.
Publicado: (2021) -
Fault Detection of Wind Turbine Gearboxes Based on IBOA-ERF
por: Tang, Mingzhu, et al.
Publicado: (2022) -
Wind turbine blades fault diagnosis based on vibration dataset analysis
por: Ogaili, Ahmed Ali Farhan, et al.
Publicado: (2023) -
Materials for Wind Turbine Blades: An Overview
por: Mishnaevsky, Leon, et al.
Publicado: (2017) -
Advances in wind turbine blade design and materials
por: Brøndsted, Povl, et al.
Publicado: (2013)