Abstract
A novel analysis method is proposed for the automatic detection of defects in aerospace composite structures. The method is based on an algorithm capable of automatically extracting relevant indications from a collection of pulse-echo signals. The algorithm is adaptive and considers the peculiarities and geometric features of each part. It consists of four main steps: 1) detection of relevant echoes in each A-scan; 2) reconstruction of a back wall by means of a spline fitting algorithm; 3) generation of reference envelopes using a statistical approach; 4) subtraction of the reference envelopes from the measured signals. The performance of the method is evaluated on a set of CFRP test specimens containing various artificial defects and is compared to a commercial software (ULTIS by Testia). The results show that the new method leads to better detection performance, especially for defects located close to the bottom surface.
How to Cite:
Séguin-Charbonneau, L. ., Walter, J. . & Masson, B. ., (2019) “A novel automatic defect detection method for the ultrasonic inspection of aircraft composite parts”, Review of Progress in Quantitative Nondestructive Evaluation .
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