Christian Tutivén Gálvez
0000-0001-6322-4608
ESPOL
151
Coauthors
43
Documentos
8
H-index Scopus
10
I10-index Google
10
H-index Google
Volumen de publicaciones por año
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| Año de publicación | Num. Publicaciones |
|---|---|
| 2014 | 1 |
| 2015 | 3 |
| 2016 | 5 |
| 2017 | 2 |
| 2018 | 4 |
| 2020 | 2 |
| 2021 | 10 |
| 2022 | 11 |
| 2023 | 5 |
Publicaciones por áreas de conocimiento
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| Área de conocimiento | Num. Publicaciones |
|---|---|
| Aprendizaje automático | 19 |
| Energía renovable | 9 |
| Energía | 8 |
| Sistema de control | 6 |
| Software | 5 |
| Ingeniería mecánica | 4 |
| Red neuronal artificial | 2 |
| Robótica | 2 |
| Inteligencia artificial | 1 |
| Ingeniería estructural | 1 |
Publicaciones por áreas temáticas
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| Área temática | Num. Publicaciones |
|---|---|
| Física aplicada | 41 |
| Métodos informáticos especiales | 17 |
| Otras ramas de la ingeniería | 15 |
| Ciencias de la computación | 5 |
| Ingeniería civil | 2 |
| Electricidad y electrónica | 1 |
| Ingeniería y operaciones afines | 1 |
| Factores que afectan al comportamiento social | 1 |
| Instrumentos de precisión y otros dispositivos | 1 |
Principales fuentes de datos
| Origen | Num. Publicaciones |
|---|---|
| Scopus | 43 |
| Google Scholar | 34 |
| RRAAE | 0 |
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Coautores destacados por número de publicaciones
| Coautor | Num. Publicaciones |
|---|---|
| Vidal Y. | 42 |
| Acho L. | 13 |
| Rodellar J. | 12 |
| Bryan Puruncajas | 12 |
| Ángel Encalada-Dávila | 11 |
| Sampietro J. | 5 |
| Benalcázar-Parra C. | 5 |
| Marcelo Fajardo-Pruna | 3 |
| Moyón L. | 3 |
| Pozo F. | 3 |
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Top Keywords
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Publicaciones del autor
Damage detection and diagnosis for offshore wind foundations
Conference ObjectAbstract: Structural health monitoring for wind turbines (WT) in remote locations, as offshore, is crucial (PrPalabras claves:Convolutional neural network, Data-driven, Offshore wind turbine, Structural Health Monitoring, Structural vibrationAutores:Bryan Puruncajas, Christian Tutivén Gálvez, Vidal Y.Fuentes:googlescopusMulti-fault diagnosis for wind turbines based on principal component analysis and support vector machines
Conference ObjectAbstract: The reliability requirements of wind turbine (WT) components have increased significantly in recentPalabras claves:Autores:Christian Tutivén Gálvez, Pozo F., Vidal Y.Fuentes:googlescopusScada data-driven wind turbine main bearing fault prognosis based on one-class support vector machines
ArticleAbstract: This work proposes a fault prognosis methodology to pbkp_redict the main bearing fault several monthPalabras claves:Fault prognosis, Main bearing, SCADA data, Wind turbineAutores:Christian Tutivén Gálvez, Insuasty A., Vidal Y.Fuentes:googlescopusVibration-response-only structural health monitoring for offshore wind turbine jacket foundations via convolutional neural networks
ArticleAbstract: This work deals with structural health monitoring for jacket-type foundations of offshore wind turbiPalabras claves:Convolutional neural network, damage detection, Damage identification, Jacket, Offshore wind turbine foundation, Signal-to-image conversion, Structural Health MonitoringAutores:Bryan Puruncajas, Christian Tutivén Gálvez, Vidal Y.Fuentes:googlescopusWind turbine multi-fault detection and classification based on SCADA data
ArticleAbstract: Due to the increasing installation of wind turbines in remote locations, both onshore and offshore,Palabras claves:(Fatigue, Aerodynamics, Structures and Turbulence) FAST code, fault classification, Fault Detection, Fault diagnosis, Principal Component Analysis, SUPPORT VECTOR MACHINES, Wind turbineAutores:Christian Tutivén Gálvez, Pozo F., Vidal Y.Fuentes:googlescopus