| Title |
Hybrid signal processing technique to improve the defect estimation in ultrasonic non-destructive testing of composite structures / |
| Authors |
Tiwari, Kumar Anubhav ; Raisutis, Renaldas ; Samaitis, Vykintas |
| DOI |
10.3390/s17122858 |
| Full Text |
|
| Is Part of |
Sensors.. Basel : MDPI. 2017, vol. 17, iss. 12, art. no. 2858, p. 1-21.. ISSN 1424-8220 |
| Keywords [eng] |
signal processing ; ultrasonic ; non-destructive testing ; composite ; guided waves ; GFRP ; wind turbine blade ; cross-correlation ; wavelet transform ; Hilbert–Huang transform |
| Abstract [eng] |
This work proposes a novel hybrid signal processing technique to extract information on disbond-type defects from a single B-scan in the process of non-destructive testing (NDT) of glass fiber reinforced plastic (GFRP) material using ultrasonic guided waves (GW). The selected GFRP sample has been a segment of wind turbine blade, which possessed an aerodynamic shape. Two disbond type defects having diameters of 15 mm and 25 mm were artificially constructed on its trailing edge. The experiment has been performed using the low-frequency ultrasonic system developed at the Ultrasound Institute of Kaunas University of Technology and only one side of the sample was accessed. A special configuration of the transmitting and receiving transducers fixed on a movable panel with a separation distance of 50 mm was proposed for recording the ultrasonic guided wave signals at each one-millimeter step along the scanning distance up to 500 mm. Finally, the hybrid signal processing technique comprising the valuable features of the three most promising signal processing techniques: cross-correlation, wavelet transform, and Hilbert–Huang transform has been applied to the received signals for the extraction of defects information from a single B-scan image. The wavelet transform and cross-correlation techniques have been combined in order to extract the approximated size and location of the defects and measurements of time delays. Thereafter, Hilbert–Huang transform has been applied to the wavelet transformed signal to compare the variation of instantaneous frequencies and instantaneous amplitudes of the defect-free and defective signals. |
| Published |
Basel : MDPI |
| Type |
Journal article |
| Language |
English |
| Publication date |
2017 |
| CC license |
|
