Ultrasound-based identification of damage in wind turbine blades using novelty detection-Reference-Cited by-同舟云学术

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Ultrasound-based identification of damage in wind turbine blades using novelty detection

Published:2020-12 Issue: Volume:108 Page:106166
ISSN:0041-624X
Container-title:Ultrasonics
language:en
Short-container-title:Ultrasonics

Author:

Oliveira Moisés A.,Simas Filho Eduardo F.,Albuquerque Maria C.S.,Santos Ygor T.B.,da Silva Ivan C.,Farias Cláudia T.T.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil

CNPq

FAPESB

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics

Reference32 articles.

1. Maintenance management based on machine learning and nonlinear features in wind turbines;Jiménez;Renewable Energy,2020

2. An experimental study of acoustic emission methodology for in service condition monitoring of wind turbine blades;Tang;Renewable Energy,2016

3. Structural health monitoring for delamination detection and location in wind turbine blades employing guided waves;Gómez Muñoz;Wind Energy,2019

4. Composite repair in wind turbine blades: an overview;Katnam;J. Adhesion,2015

5. Structural health monitoring for advanced composite structures: A review;Güemes;J. Compos. Sci.,2020

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