A New Approach for Fault Detection, Location and Diagnosis by Ultrasonic Testing

Wind turbine blades are constantly submitted to different types of particles such as dirt, ice, etc., as well as all the different environmental parameters that affect the behaviour and efficiency of the energy generation system. These parameters can cause faults to the wind turbine blades, modifyin...

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Authors: García Márquez, Fausto Pedro, Gómez Muñoz, Carlos Quiterio
Format: article
Publication Date:2020
Country:España
Institution:Universidad de Castilla-La Mancha
Repository:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/24164
Online Access:https://doi.org/10.3390/en13051192
http://hdl.handle.net/10578/24164
Access Level:Open access
Keyword:Fault detection
Diagnosis
Wavelet transforms
Non-destructive tests
Guided waves
Wind turbine blade
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spelling A New Approach for Fault Detection, Location and Diagnosis by Ultrasonic TestingGarcía Márquez, Fausto PedroGómez Muñoz, Carlos QuiterioFault detectionDiagnosisWavelet transformsNon-destructive testsGuided wavesWind turbine bladeWind turbine blades are constantly submitted to different types of particles such as dirt, ice, etc., as well as all the different environmental parameters that affect the behaviour and efficiency of the energy generation system. These parameters can cause faults to the wind turbine blades, modifying their behaviour due, for example, to the turbulence. A new method is presented in this paper based on cross-correlations to determine the presence of delamination in the blades. The experiments were conducted in two real wind turbine blades to analyse the fault and non-fault blades using ultrasonic guided waves. Finally, the energy analysis of the signal based on wavelet transforms allowed to determine energies abrupt changes in the correlation of the signals and to locate the faults.MDPI202020202020info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://doi.org/10.3390/en13051192http://hdl.handle.net/10578/24164reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésSBPLY/19/180501/000102info:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/241642026-05-27T07:36:41Z
dc.title.none.fl_str_mv A New Approach for Fault Detection, Location and Diagnosis by Ultrasonic Testing
title A New Approach for Fault Detection, Location and Diagnosis by Ultrasonic Testing
spellingShingle A New Approach for Fault Detection, Location and Diagnosis by Ultrasonic Testing
García Márquez, Fausto Pedro
Fault detection
Diagnosis
Wavelet transforms
Non-destructive tests
Guided waves
Wind turbine blade
title_short A New Approach for Fault Detection, Location and Diagnosis by Ultrasonic Testing
title_full A New Approach for Fault Detection, Location and Diagnosis by Ultrasonic Testing
title_fullStr A New Approach for Fault Detection, Location and Diagnosis by Ultrasonic Testing
title_full_unstemmed A New Approach for Fault Detection, Location and Diagnosis by Ultrasonic Testing
title_sort A New Approach for Fault Detection, Location and Diagnosis by Ultrasonic Testing
dc.creator.none.fl_str_mv García Márquez, Fausto Pedro
Gómez Muñoz, Carlos Quiterio
author García Márquez, Fausto Pedro
author_facet García Márquez, Fausto Pedro
Gómez Muñoz, Carlos Quiterio
author_role author
author2 Gómez Muñoz, Carlos Quiterio
author2_role author
dc.subject.none.fl_str_mv Fault detection
Diagnosis
Wavelet transforms
Non-destructive tests
Guided waves
Wind turbine blade
topic Fault detection
Diagnosis
Wavelet transforms
Non-destructive tests
Guided waves
Wind turbine blade
description Wind turbine blades are constantly submitted to different types of particles such as dirt, ice, etc., as well as all the different environmental parameters that affect the behaviour and efficiency of the energy generation system. These parameters can cause faults to the wind turbine blades, modifying their behaviour due, for example, to the turbulence. A new method is presented in this paper based on cross-correlations to determine the presence of delamination in the blades. The experiments were conducted in two real wind turbine blades to analyse the fault and non-fault blades using ultrasonic guided waves. Finally, the energy analysis of the signal based on wavelet transforms allowed to determine energies abrupt changes in the correlation of the signals and to locate the faults.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://doi.org/10.3390/en13051192
http://hdl.handle.net/10578/24164
url https://doi.org/10.3390/en13051192
http://hdl.handle.net/10578/24164
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv SBPLY/19/180501/000102
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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