Cargando…
Structural Damage Classification in a Jacket-Type Wind-Turbine Foundation Using Principal Component Analysis and Extreme Gradient Boosting
Damage classification is an important topic in the development of structural health monitoring systems. When applied to wind-turbine foundations, it provides information about the state of the structure, helps in maintenance, and prevents catastrophic failures. A data-driven pattern-recognition meth...
Autores principales: | Leon-Medina, Jersson X., Anaya, Maribel, Parés, Núria, Tibaduiza, Diego A., Pozo, Francesc |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069796/ https://www.ncbi.nlm.nih.gov/pubmed/33924654 http://dx.doi.org/10.3390/s21082748 |
Ejemplares similares
-
Nonlinear Feature Extraction Through Manifold Learning in an Electronic Tongue Classification Task
por: Leon-Medina, Jersson X., et al.
Publicado: (2020) -
Structural Health Monitoring for Jacket-Type Offshore Wind Turbines: Experimental Proof of Concept
por: Vidal, Yolanda, et al.
Publicado: (2020) -
Unsupervised Damage Detection for Offshore Jacket Wind Turbine Foundations Based on an Autoencoder Neural Network
por: Feijóo, Maria del Cisne, et al.
Publicado: (2021) -
New Electronic Tongue Sensor Array System for Accurate Liquor Beverage Classification
por: Leon-Medina, Jersson X., et al.
Publicado: (2023) -
Vibration-Response-Only Structural Health Monitoring for Offshore Wind Turbine Jacket Foundations via Convolutional Neural Networks
por: Puruncajas, Bryan, et al.
Publicado: (2020)