A new morphological algorithm for fusing ultrasonic and eddy current images

Song, Young-Won; Удпа, Сатиш С.

doi:10.1109/ultsym.1996.584059

Cited by 10 publications

(1 citation statement)

References 3 publications

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“…Data fusion techniques have been applied to various NDE applications to reduce the signal uncertainty and increase evaluation accuracy [8]. The basic approaches for data fusion include the fusion of data from different types of NDE sensors [9] and the fusion of data from the same type of sensors under different conditions [10]. For the NDE of concrete structures, data fusion has been used to combine various NDE technologies [11,12] or integrate ground penetrating radar (GPR) data with different testing conditions [13].…”

Section: Introductionmentioning

confidence: 99%

Multisensor data fusion for impact-echo testing of concrete structures

Zhang

Wei

Tsai

et al. 2012

Smart Mater. Struct.

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Based on the investigation of spatial variations of impact-echo signals for different source and receiver locations, a simple multisensor data fusion strategy is proposed to increase the accuracy of nondestructive evaluation of concrete structures using the impact-echo test. The data fusion strategy fuses the ratios between spectral amplitudes of the delamination and concrete bottom echo signals (D/B ratios) from multiple source-receiver arrays. The fused D/B ratios demonstrate different characteristics for test locations above the delamination, above the sound concrete, and across the delamination boundary. These characteristics can be used to accurately locate the delamination and its boundaries without increasing testing time. The applicability of the multisensor data fusion for impact-echo testing is validated using both numerical simulation and experimental testings.

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