LAPSE:2023.21970
Published Article

LAPSE:2023.21970
A New Approach for Fault Detection, Location and Diagnosis by Ultrasonic Testing
March 23, 2023
Abstract
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.
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.
Record ID
Keywords
fault detection and diagnosis, guided waves, non-destructive tests, wavelet transforms, wind turbine blade
Subject
Suggested Citation
García Marquez FP, Gómez Muñoz CQ. A New Approach for Fault Detection, Location and Diagnosis by Ultrasonic Testing. (2023). LAPSE:2023.21970
Author Affiliations
Journal Name
Energies
Volume
13
Issue
5
Article Number
E1192
Year
2020
Publication Date
2020-03-05
ISSN
1996-1073
Version Comments
Original Submission
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PII: en13051192, Publication Type: Journal Article
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LAPSE:2023.21970
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https://doi.org/10.3390/en13051192
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Mar 23, 2023
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