Ensemble of feature extraction methods to improve the structural damage classification in a wind turbine foundation-Reference-Cited by-同舟云学术

Ensemble of feature extraction methods to improve the structural damage classification in a wind turbine foundation

Published:2023-02-06 Issue: Volume: Page:144606-144606
ISSN:2300-1917
Container-title:Bulletin of the Polish Academy of Sciences Technical Sciences
language:pl
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Author:

Leon-Medina Jersson X.¹²^ORCID,Parés Núria³^ORCID,Anaya Maribel⁴^ORCID,Tibaduiza Diego A.⁴^ORCID,Pozo Francesc¹⁵^ORCID

Affiliation:

1. Control, Data, and Artificial Intelligence (CoDAlab), Department of Mathematics, Escola d’Enginyeria de Barcelona Est (EEBE),Campus Diagonal-Besòs (CDB), Universitat Politècnica de Catalunya (UPC), Eduard Maristany 16, 08019 Barcelona, Spain

2. Programa de Ingeniería Mecatrónica, Universidad de San Buenaventura, Carrera 8H #172-20, Bogota, Colombia

3. Laboratori de Càlcul Numèric (LaCàN), Department of Mathematics, Escola d’Enginyeria de Barcelona Est (EEBE), Campus Diagonal-Besòs

4. Departamento de Ingeniería Eléctrica y Electrónica, Universidad Nacional de Colombia, Cra 45 No. 26-85, Bogotá 111321, Colombia

5. Institute of Mathematics (IMTech), Universitat Politècnica de Catalunya (UPC), Pau Gargallo 14, 08028 Barcelona, Spain

Publisher

Polish Academy of Sciences Chancellery

Subject

Artificial Intelligence,Computer Networks and Communications,General Engineering,Information Systems,Atomic and Molecular Physics, and Optics

Link

https://journals.pan.pl/Content/126565/PDF/BPASTS-03296-EA.pdf

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving Wind Turbine Foundation Damage Detection: A Domain Adaptation Approach with Kernel Mean Matching Method;2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2024-05-20

2. Predicting the Displacement Variation of Rehabilitated Foundation of Onshore Wind Turbines Using Machine Learning Models;Buildings;2024-03-12