4.6 Article

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

期刊

SENSORS
卷 21, 期 14, 页码 -

出版社

MDPI
DOI: 10.3390/s21144879

关键词

wind turbine blade; finite element model; non-destructive testing; ultrasonic guided waves; defect detection and sizing; phase velocity measurement; macro-fibre composite transducer

资金

  1. Research Foundation of the Research Council of Lithuania [MIP2048]

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A new criterion based on the variation of ultrasonic guided waves (UGW) phase velocity for wind turbine blade (WTB) evaluation is proposed in this study, which shows effectiveness in defect detection, location, and sizing. The technique is validated through simulation and experimental studies, yielding promising results in both artificial defect and experimental measurement cases. The comparative results demonstrate the suitability of the proposed new criterion for defect detection tasks.
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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