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Damage Identification of Wind Turbine Blades Using Piezoelectric Transducers

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TLDR
In this paper, Lamb wave propagations and frequency response functions at high frequency ranges are used to estimate the condition of wind turbine blades, and the results of a full-scale fatigue test of a 9'm CX-100 blade using piezoelectric active sensors are presented.
Abstract
This paper presents the experimental results of active-sensing structural health monitoring (SHM) techniques, which utilize piezoelectric transducers as sensors and actuators, for determining the structural integrity of wind turbine blades. Specifically, Lamb wave propagations and frequency response functions at high frequency ranges are used to estimate the condition of wind turbine blades. For experiments, a 1 m section of a CX-100 blade is used. The goal of this study is to assess and compare the performance of each method in identifying incipient damage with a consideration given to field deployability. Overall, these methods yielded a sufficient damage detection capability to warrant further investigation. This paper also summarizes the SHM results of a full-scale fatigue test of a 9 m CX-100 blade using piezoelectric active sensors. This paper outlines considerations needed to design such SHM systems, experimental procedures and results, and additional issues that can be used as guidelines for future investigations.

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Journal ArticleDOI

Piezoelectric Sensing Techniques in Structural Health Monitoring: A State-of-the-Art Review

TL;DR: A role of the piezoelectric-based techniques in developing the next-generation self-monitoring and self-powering health monitoring systems is envisioned.
Journal ArticleDOI

Temperature and damage influence on electromechanical impedance method used for carbon fibre–reinforced polymer panels

TL;DR: In this article, the authors investigated the influence of changing temperature on resistance in electromechanical impedance and proposed a new approach for compensation of temperature influence on damage detection based on root mean square deviation index.
Journal ArticleDOI

Damage detection of wind turbine system based on signal processing approach: a critical review

TL;DR: In this paper, a comprehensive literature review is carried out in the field of damage detection for wind turbine systems, including time-domain and frequency-domain analysis, joint time-frequency methods, entropy-based damage detection, supervisory control and data acquisition (SCADA), and machine learning approaches are discussed.
Journal ArticleDOI

Acoustical damage detection of wind turbine blade using the improved incremental support vector data description

TL;DR: An acoustical detection method for damage identification of the WTB based on pattern recognition and improved incremental learning method is presented and employed to adaptively update the SVDD model, which aims at simplifying calculation procedure.
Journal ArticleDOI

Detumbling Space Debris Using Modified Yo-Yo Mechanism

TL;DR: In this article, a matrix that transforms coordinates from Dxdydzd to Cxyz frame d = diameter of the reel, m Jx, Jy, Jz = moments of inertia of the target, kg · m 2 K = angularmomentumvector of target, m ∕s li = unwrapped length of ith wire, m lmax = length of the wire and m m = mass of the tether, m m x, y, z = target coordinates, m αi, βi, γi.
References
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Book ChapterDOI

I and J

Journal ArticleDOI

Overview of Piezoelectric Impedance-Based Health Monitoring and Path Forward

TL;DR: In this article, Niezrecki et al. summarized the hardware and software issues of impedance-based structural health modi- toring based on piezoelectric materials.
Journal ArticleDOI

Review of guided-wave structural health monitoring

TL;DR: This paper begins with an overview of damage prognosis, and a description of the basic methodology of guided-wave SHM, then reviews developments from the open literature in various aspects of this truly multidisciplinary field.
Journal ArticleDOI

Tuned Lamb-Wave Excitation and Detection with Piezoelectric Wafer Active Sensors for Structural Health Monitoring

TL;DR: In this paper, the capability of embedded piezoelectric wafer active sensors (PWAS) to excite and detect tuned Lamb waves for structural health monitoring is explored.
Journal ArticleDOI

Damage detection in composite materials using lamb wave methods

TL;DR: In this article, the authors presented an experimental and analytical survey of candidate methods for in situ damage detection of composite materials, including delamination, transverse ply cracks and through-holes.
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