Guided wave–based approach for ice detection on wind turbine blades

Shoja, Siavash; Berbyuk, Viktor; Boström, Anders E

doi:10.1177/0309524x18754767

Cited by 25 publications

(8 citation statements)

References 38 publications

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“…Those parameters are related to the propagation distance x as well as the wavenumber k(ω) of the Lamb mode. If the parameters k 1 , k 2 and f can be obtained, the wave packet with arbitrary propagation distance x can be predicted by equation (6). The parameters…”

Section: Model-based Parameter Estimation Of Lamb Wave Propagationmentioning

confidence: 99%

“…Lamb wave is ultrasonic guided wave propagating in thin plates and it can travel a long distance with less energy loss and is sensitive to both surface and internal damage of structures. Lamb wave has been studied and applied in many fields including wind turbine blades [5,6], and aircrafts [7][8][9][10]. The multi-mode and dispersion nature of Lamb waves decreases signal resolution and increases the difficulty of signal processing.…”

Section: Introductionmentioning

confidence: 99%

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A parameter estimation based sparse representation approach for mode separation and dispersion compensation of Lamb waves in isotropic plate

Yang

Qiao

et al. 2020

Smart Mater. Struct.

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A response Lamb wave is usually a combination of dispersive wave packets corresponding to different modes, and the explicit dispersion curves are hard to acquire accurately sometimes. A parameter estimation based sparse representation approach is established to extract each pure single-mode component with dispersion removal from the dispersive multi-mode Lamb waves. The dispersion characteristic parameters of the Lamb modes are extracted from a response Lamb wave with a known propagation distance using a parameter estimation algorithm. A parametric dictionary is designed to sparsely decompose the dispersive multi-mode Lamb waves, and those parameters used for constructing the dictionary are extracted from a response signal based on a Lamb wave propagation model. In the process of reconstructing each mode component, the original dictionary is replaced with a multi-mode and non-dispersive dictionary so that the dispersion effect can be removed. Results from simulations and experiments both verify the effectiveness of the proposed approach.

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Section: Model-based Parameter Estimation Of Lamb Wave Propagationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A parameter estimation based sparse representation approach for mode separation and dispersion compensation of Lamb waves in isotropic plate

Yang

Qiao

et al. 2020

Smart Mater. Struct.

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“…The second application, wind turbine monitoring, a more prospective one, was selected because it is a promising application of GWs. 35,36,37 Moreover, the environmental impact of wind turbine has been widely studied, enabling straightforward comparison between costs and gains. The wind turbine under consideration is 2 MW and located onshore.…”

Section: Introductionmentioning

confidence: 99%

Environmental impact assessment of guided wave-based structural health monitoring

Aujoux

Mesnil

2022

Structural Health Monitoring

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Guided wave-based structural health monitoring (GW-SHM) relies on permanently installed sensors to detect and monitor structural defects such as cracks or delamination. Millimeter to centimeter-sized defects are detected over areas of several square meters with sparse sensor networks installed on metallic or composite structures. So far, the main drivers of the development of such technologies have been expectations of cost savings and/or an increased safety. As monitoring requires a complex cyber physical system including, at least an energy source, sensors, data acquisition, treatment, and communication capabilities, adding monitoring capabilities to a structure leads to an intrinsic environmental impact. This paper targets for the first time the environmental assessment of GW-SHM. Such analysis being use-case dependent, two prospective applications are studied: railroad monitoring and wind turbine monitoring. A complete GW-SHM system prototype is defined to quantify its environmental impact, and exploitation scenarios are proposed to estimate the potential environmental gains provided by the monitoring. For the scenarios under consideration, the studied system is found to be either carbon neutral or carbon negative (i.e., favorable), but this result is limited to the functional units under consideration. The present study is expected to be a template for further environmental assessments of monitoring systems, which shall be conducted for each prospective application and refined often as systems mature and exploitation scenarios become clearer and exploitation data available.

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“…However, the dimension and complexity of WTB and limitation in applicability and accuracy of some methods make them unsuitable for on-site inspection of WTB [ 7 ]. Due to the availability of a wide range of transducers, high sensitivity to defects and the ability to travel a long distance, ultrasonic guided wave (UGW) testing is extensively used for the inspection of these type of structures [ 8 , 9 , 10 ]. The Lamb wave comes under the specific category of UGW that can be further categorized into the two types: symmetric (S0, S1) and asymmetric (A0, A1) Lamb waves based on the product of frequency ( f ) of excitation and thickness ( d ) of the propagating medium.…”

Section: Introductionmentioning

confidence: 99%

A Novel Defect Estimation Approach in Wind Turbine Blades Based on Phase Velocity Variation of Ultrasonic Guided Waves

Raišutis

Tiwari

Žukauskas

et al. 2021

Sensors

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The reliability of the wind turbine blade (WTB) evaluation using a new criterion is presented in the work. Variation of the ultrasonic guided waves (UGW) phase velocity is proposed to be used as a new criterion for defect detection. Based on an intermediate value between the maximum and minimum values, the calculation of the phase velocity threshold is used for defect detection, location and sizing. The operation of the proposed technique is verified using simulation and experimental studies. The artificially milled defect having a diameter of 81 mm on the segment of WTB is used for verification of the proposed technique. After the application of the proposed evaluation technique for analysis of the simulated B-scan image, the coordinates of defect edges have been estimated with relative errors of 3.7% and 3%, respectively. The size of the defect was estimated with a relative error of 2.7%. In the case of an experimentally measured B-scan image, the coordinates of defect edges have been estimated with relative errors of 12.5% and 3.9%, respectively. The size of the defect was estimated with a relative error of 10%. The comparative results obtained by modelling and experiment show the suitability of the proposed new criterion to be used for the defect detection tasks solving.

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Guided wave–based approach for ice detection on wind turbine blades

Cited by 25 publications

References 38 publications

A parameter estimation based sparse representation approach for mode separation and dispersion compensation of Lamb waves in isotropic plate

A parameter estimation based sparse representation approach for mode separation and dispersion compensation of Lamb waves in isotropic plate

Environmental impact assessment of guided wave-based structural health monitoring

A Novel Defect Estimation Approach in Wind Turbine Blades Based on Phase Velocity Variation of Ultrasonic Guided Waves

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