TUTIVEN GALVEZ CHRISTIAN JAVIER
Orcid: 0000-0001-6322-4608
Scopus id: 56677700300
Correo:
cjtutive[at]espol.edu.ec
Áreas de investigación
Physics and Astronomy (all)
Information Systems
Fuel Technology
Control and Systems Engineering
Aerospace Engineering
Atomic and Molecular Physics, and Optics
Métricas
52
Publicaciones
524
Citaciones
10
H-index
6
H5-index
0.31
FCWI
Conteo de citas
Publicaciones por año
# | Título | Citaciones | Año de publicación | Publicado en |
---|---|---|---|---|
1 |
An Enhanced Modeling Framework for Bearing Fault Simulation and Machine Learning-Based Identification With Bayesian-Optimized Hyperparameter Tuning |
2 |
2024 |
Journal of Computing and Information Science in Engineering |
2 |
Structural health monitoring of jacket-type support structures in offshore wind turbines: A comprehensive dataset for bolt loosening detection through vibrational analysis |
1 |
2024 |
Data in Brief |
3 |
Early Detection of Gearbox Failures in Wind Turbines Using Artificial Neural Networks and SCADA Data |
0 |
2024 |
Mechanisms and Machine Science |
4 |
MARVIN: Mobile Autonomous Robot Vehicle for Investigation & Navigation |
0 |
2024 |
2024 21st International Conference on Ubiquitous Robots, UR 2024 |
5 |
Bolt-loosening detection in offshore wind turbines’ jacket-type supports |
0 |
2024 |
Structural Health Monitoring |
6 |
Detection of crack bar deterioration at offshore wind turbine supports using generative adversarial networks and autoencoders |
0 |
2024 |
Journal of Physics: Conference Series |
7 |
Wind turbine blade damage detection using data-driven techniques |
0 |
2023 |
Renewable Energy and Power Quality Journal |
8 |
Anomaly-based fault detection in wind turbine main bearings |
4 |
2023 |
Wind Energy Science |
9 |
Detecting bearing failures in wind energy parks: A main bearing early damage detection method using SCADA data and a convolutional autoencoder |
2 |
2023 |
Energy Science and Engineering |
10 |
Damping Ratio Prediction for Redundant Cartesian Impedance-Controlled Robots Using Machine Learning Techniques |
3 |
2023 |
Mathematics |
11 |
Damage Detection and Localization at the Jacket Support of an Offshore Wind Turbine Using Transformer Models |
2 |
2023 |
Structural Control and Health Monitoring |
12 |
Predictive maintenance of wind turbine's main bearing using wind farm SCADA data and LSTM neural networks |
2 |
2023 |
Journal of Physics: Conference Series |
13 |
Offshore Wind Turbine Jacket Damage Detection via a Siamese Neural Network |
0 |
2023 |
Lecture Notes in Civil Engineering |
14 |
Structural Health Monitoring of Offshore Jacket Platforms via Transformers |
1 |
2023 |
Lecture Notes in Civil Engineering |
15 |
Early Fault Detection in the Main Bearing of Wind Turbines Based on Gated Recurrent Unit (GRU) Neural Networks and SCADA Data |
49 |
2022 |
IEEE/ASME Transactions on Mechatronics |
16 |
Conceptual Design of a Vibration Test System Based on a Wave Generator Channel for Lab-Scale Offshore Wind Turbine Jacket Foundations |
3 |
2022 |
Journal of Marine Science and Engineering |
17 |
Main Bearing Fault Prognosis in Wind Turbines based on Gated Recurrent Unit Neural Networks |
1 |
2022 |
Renewable Energy and Power Quality Journal |
18 |
Early Detection of Main Bearing Damage in Wind Turbines |
0 |
2022 |
Renewable Energy and Power Quality Journal |
19 |
Detection of Jacket Offshore Wind Turbine Structural Damage using an 1D-Convolutional Neural Network with a Support Vector Machine Layer |
2 |
2022 |
Journal of Physics: Conference Series |
20 |
SCADA Data-Driven Wind Turbine Main Bearing Fault Prognosis Based on Principal Component Analysis |
4 |
2022 |
Journal of Physics: Conference Series |
21 |
Wind Turbine Main Bearing Failure Prediction using a Hybrid Neural Network |
2 |
2022 |
Journal of Physics: Conference Series |
22 |
Early Fault Diagnosis Strategy for WT Main Bearings Based on SCADA Data and One-Class SVM |
17 |
2022 |
Energies |
23 |
Siamese Neural Networks for Damage Detection and Diagnosis of Jacket-Type Offshore Wind Turbine Platforms |
10 |
2022 |
Mathematics |
24 |
Modelling of an Intelligent Control Strategy for an Autonomous Sailboat-SenSailor |
1 |
2022 |
Proceedings of the 2022 5th International Conference on Advanced Systems and Emergent Technologies, IC_ASET 2022 |
25 |
Development of a Wind Turbine Digital-Twin for failure prognosis: First Results |
5 |
2022 |
Proceedings of the 2022 5th International Conference on Advanced Systems and Emergent Technologies, IC_ASET 2022 |
26 |
Wind turbine main bearing condition monitoring via convolutional autoencoder neural networks |
4 |
2021 |
International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021 |
27 |
Wind turbine multi-fault detection based on scada data via an autoencoder |
2 |
2021 |
Renewable Energy and Power Quality Journal |
28 |
Convolutional neural network for wind turbine failure classification based on scada data |
0 |
2021 |
Renewable Energy and Power Quality Journal |
29 |
Scada data-driven wind turbine main bearing fault prognosis based on one-class support vector machines |
8 |
2021 |
Renewable Energy and Power Quality Journal |
30 |
Unsupervised damage detection for offshore jacket wind turbine foundations based on an autoencoder neural network |
26 |
2021 |
Sensors |
31 |
Wind turbine main bearing fault prognosis based solely on scada data |
56 |
2021 |
Sensors |
32 |
Damage Detection on Offshore Wind Turbine Jacket Foundations Based on an AutoEncoder |
0 |
2021 |
Structural Health Monitoring 2021: Enabling Next-Generation SHM for Cyber-Physical Systems - Proceedings of the 13th International Workshop on Structural Health Monitoring, IWSHM 2021 |
33 |
Damage Detection in an Offshore Experimental Wind Turbine Foundation based on Autoencoder Deep Neural Networks |
0 |
2021 |
International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII |
34 |
Wind Turbine Multi-Fault Detection and Classification using Machine Learning Techniques |
0 |
2021 |
International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII |
35 |
Fault Prognosis for Wind Turbines' Main Bearing based on SCADA data |
0 |
2021 |
International Conference on Structural Health Monitoring of Intelligent Infrastructure: Transferring Research into Practice, SHMII |
36 |
Vibration-response-only structural health monitoring for offshore wind turbine jacket foundations via convolutional neural networks |
51 |
2020 |
Sensors (Switzerland) |
37 |
Damage detection and diagnosis for offshore wind foundations |
3 |
2020 |
ICINCO 2020 - Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics |
38 |
Wind turbine multi-fault detection and classification based on SCADA data |
56 |
2018 |
Energies |
39 |
Wind turbine fault detection and classification by means of image texture analysis |
102 |
2018 |
Mechanical Systems and Signal Processing |
40 |
Multi-fault diagnosis for wind turbines based on principal component analysis and support vector machines |
0 |
2018 |
9th European Workshop on Structural Health Monitoring, EWSHM 2018 |
41 |
Fault detection and isolation of pitch actuator faults in a floating wind turbine |
5 |
2018 |
|
42 |
Acceleration-based fault-tolerant control design of offshore fixed wind turbines |
5 |
2017 |
Structural Control and Health Monitoring |
43 |
Hysteresis-Based Design of Dynamic Reference Trajectories to Avoid Saturation in Controlled Wind Turbines |
14 |
2017 |
Asian Journal of Control |
44 |
Passive fault tolerant control strategy in controlled wind turbines |
6 |
2016 |
Conference on Control and Fault-Tolerant Systems, SysTol |
45 |
Variable structure strategy to avoid torque control saturation of a wind turbine in the presence of faults |
0 |
2016 |
Renewable Energy and Power Quality Journal |
46 |
Super-twisting controllers for wind turbines |
1 |
2016 |
Renewable Energy and Power Quality Journal |
47 |
Wind turbines controllers design based on the super-twisting algorithm |
1 |
2016 |
2016 European Control Conference, ECC 2016 |
48 |
Texture analysis for wind turbine fault detection |
2 |
2016 |
8th European Workshop on Structural Health Monitoring, EWSHM 2016 |
49 |
Active fault tolerant control for pitch actuators failures tested in a hardware-in-the-loop simulation for wind turbine controllers |
3 |
2015 |
2015 23rd Mediterranean Conference on Control and Automation, MED 2015 - Conference Proceedings |
50 |
A fault detection method for pitch actuators faults in wind turbines |
5 |
2015 |
Renewable Energy and Power Quality Journal |
51 |
Fault diagnosis and fault-tolerant control ofwind turbines via a discrete time controller with a disturbance compensator |
50 |
2015 |
Energies |
52 |
Hardware in the loop wind turbine simulator for control system testing |
13 |
2014 |
Advances in Industrial Control |
Métricas
En ejecución
Finalizados
Total
Proyectos por año de inicio
Proyectos por año de finalización