An acoustic-array based structural health monitoring technique for wind turbine blades

Aizawa, Kai; Poozesh, Peyman; Niezrecki, Christopher; Baqersad, Javad; İnalpolat, Murat; Heilmann, Gunnar

doi:10.1117/12.2084276

Cited by 14 publications

(14 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[1][2][3][4][5][6][7][8][9][10][11] Some of these techniques uses coordinate machine measurements (CMM), 1 which is the most common and reliable measurement method of profile measurement of blades. In order to achieve maximum efficiency some shapes, dimensions and aerodynamic profiles are required for blades so manufacturing process of these parts requires quality inspection techniques.…”

Section: Introductionmentioning

confidence: 99%

“…Several authors describe different techniques that have been implemented for aerodynamic profiles measurements of wind turbine blades. [1][2][3][4][5][6][7][8][9][10][11] Some of these techniques uses coordinate machine measurements (CMM), 1 which is the most common and reliable measurement method of profile measurement of blades. This is the method with the highest measurement accuracy nowadays and has the advantage of completing precision measurement of the profile with complex structure.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Measurement of quality test of aerodynamic profiles in wind turbine blades using laser triangulation technique

Moreno‐Oliva¹,

Román‐Hernández²,

Dorrego-Portela³

et al. 2019

Energy Science & Engineering

View full text Add to dashboard Cite

The development of an optical contact instrument for measuring the geometric shape of aerodynamic profiles on blades of small power wind turbines is presented. The instrument uses the triangulation principle, where a structured line laser pattern is projected onto the surface of one of the faces of the blade under test, a camera captures the image of the line and is processed to interpret the distorted form of the projected line. A linear sweep of the instrument makes it possible to measure the profile in another section of the blade. Comparison and evaluation results of two symmetric profiles of the NACA 0012 family are presented, one manufactured in a 3D printer and the other one is a metal profile AF104 of a subsonic wind tunnel. Additionally, three sections of a blade with profile FX 63‐137 of a 1.5 kW wind turbine were evaluated. An aerodynamic analysis shows a reduction in the lift coefficient and in the efficiency of the aerodynamic profile, as well as an increase in the drag coefficient. The sensitivity of the instrument is 0.1 mm on the Z‐axis.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Measurement of quality test of aerodynamic profiles in wind turbine blades using laser triangulation technique

Moreno‐Oliva¹,

Román‐Hernández²,

Dorrego-Portela³

et al. 2019

Energy Science & Engineering

View full text Add to dashboard Cite

show abstract

“…Ultrasound-based inspection is one of the most widely used blade inspection techniques in industry and has been successfully demonstrated in the literature [10][11][12]. Acoustic beamforming is a versatile but costly technique that has been demonstrated to succeed under certain conditions [13,14]. Acoustic signatures taken from the structure, before and after damage, may allow for detection and differentiation of fault existence and can also be used as a blade inspection method [14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

“…Acoustic beamforming is a versatile but costly technique that has been demonstrated to succeed under certain conditions [13,14]. Acoustic signatures taken from the structure, before and after damage, may allow for detection and differentiation of fault existence and can also be used as a blade inspection method [14][15][16][17][18]. Aizawa et al investigated damage detection of wind turbine blades by installing a speaker inside of a stationary wind turbine blade and qualitatively characterizing the sound radiation using a microphone array [14].…”

Section: Introductionmentioning

confidence: 99%

“…Acoustic signatures taken from the structure, before and after damage, may allow for detection and differentiation of fault existence and can also be used as a blade inspection method [14][15][16][17][18]. Aizawa et al investigated damage detection of wind turbine blades by installing a speaker inside of a stationary wind turbine blade and qualitatively characterizing the sound radiation using a microphone array [14]. They ultimately observed that faults would change acoustic energy radiated from the test object.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Wind Turbine Blade Damage Detection Using Supervised Machine Learning Algorithms

Regan

Beale

İnalpolat

2017

Journal of Vibration and Acoustics

Self Cite

View full text Add to dashboard Cite

Wind turbine blades undergo high operational loads, experience variable environmental conditions, and are susceptible to failure due to defects, fatigue, and weather-induced damage. These large-scale composite structures are fundamentally enclosed acoustic cavities and currently have limited, if any, structural health monitoring (SHM) in place. A novel acoustics-based structural sensing and health monitoring technique is developed, requiring efficient algorithms for operational damage detection of cavity structures. This paper describes the selection of a set of statistical features for acoustics-based damage detection of enclosed cavities, such as wind turbine blades, as well as a systematic approach used in the identification of competent machine learning algorithms. Logistic regression (LR) and support vector machine (SVM) methods are identified and used with optimal feature selection for decision-making via binary classification algorithms. A laboratory-scale wind turbine with hollow composite blades was built for damage detection studies. This test rig allows for testing of stationary or rotating blades, of which time and frequency domain information can be collected to establish baseline characteristics. The test rig can then be used to observe any deviations from the baseline characteristics. An external microphone attached to the tower will be utilized to monitor blade health while blades are internally ensonified by wireless speakers. An initial test campaign with healthy and damaged blade specimens is carried out to arrive at several conclusions on the detectability and feature extraction capabilities required for damage detection.

show abstract

Investigating into Minimum Detectable Displacement Signal in Image-Based Vibration Measurement

Feng

et al. 2021

Proceedings of IncoME-V &Amp; CEPE Net-2020

View full text Add to dashboard Cite

translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

show abstract

An acoustic-array based structural health monitoring technique for wind turbine blades

Cited by 14 publications

References 7 publications

Measurement of quality test of aerodynamic profiles in wind turbine blades using laser triangulation technique

Measurement of quality test of aerodynamic profiles in wind turbine blades using laser triangulation technique

Wind Turbine Blade Damage Detection Using Supervised Machine Learning Algorithms

Investigating into Minimum Detectable Displacement Signal in Image-Based Vibration Measurement

Contact Info

Product

Resources

About