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자료유형
학술저널
저자정보
BENAMMAR Abdessalem (Welding & NDT Research Center) DRAI Redouane (Welding & NDT Research Center)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.9 No.5
발행연도
2014.9
수록면
1,753 - 1,761 (9page)

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초록· 키워드

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Due to the inherent inhomogeneous and anisotropy nature of the composite materials, the detection of internal defects in these materials with non-destructive techniques is an important requirement both for quality checks during the production phase and in service inspection during maintenance operations. The estimation of the time-of-arrival (TOA) and/or time-of-flight (TOF) of the ultrasonic echoes is essential in ultrasonic non-destructive testing (NDT). In this paper, we used split-spectrum processing (SSP) combined with matching pursuit signal decomposition (MPSD) to develop a dedicated ultrasonic detection system. SSP algorithm is used for Signal-to-Noise Ratio (SNR) enhancement, and the MPSD algorithm is used to decompose backscattered signals into a linear expansion of chirplet echoes and estimate the chirplet parameters. Therefore, the combination of SSP and MPSD (SSP-MPSD) presents a powerful technique for ultrasonic NDT. The SSP algorithm is achieved by using Gaussian band pass filters. Then, MPSD algorithm uses the Maximum Likelihood Estimation. The good performance of the proposed method is experimentally verified using ultrasonic races acquired from three specimens of carbon fibre reinforced polymer multi-layered composite materials (CFRP).

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Abstract
1. Introduction
2. Proposed Method for Flaw Detection
3. Simulation Study
4. Experimental Results and Discussion
5. Conclusions
References

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