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PeriodicalsElectrical Engineering

Reconstruction of Defect Paths Using Eddy Current Testing Array 3D Imaging

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Abstract & Overview

In a world where the reliability and lifespan of industrial equipment are critical, our research aims to go beyond the traditional limits of non-destructive testing. We seek to achieve accurate detection and comprehensive imaging of defects in their various forms by harnessing the capabilities of eddy current testing with multiplexing technology on multi-element sensors. This approach allows us to save time and ensure the quality of results. This paper presents a method for detecting and imaging different defect paths on an aluminium plate. Our methodology involves the strategic deployment of multi-sensor techniques specifically designed for eddy current testing. To address the inherent challenge of mutual magnetic induction between these sensors, we employ the alternating feed method, which is an advanced technology that ensures data integrity and significantly accelerates scanning times. By combining this technology with multi-sensor techniques, we capture signals that provide valuable insights into the presence of defects. Additionally, we produce 3D imaging that enables us to trace their paths, regardless of size. These preliminary results lay the foundation for future research aimed at accurately characterizing and visualizing the shapes and dimensions of these defects, thereby contributing to a more comprehensive understanding of defect behaviour.

Cite this record

Abderrahmane Aboura, Abdelhak Abdou, Tarik Bouchala, Mohammed Chebout, Bachir Abdelhadi, Marwen KHABEL (2025). Reconstruction of Defect Paths Using Eddy Current Testing Array 3D Imaging. Acta Universitatis Sapientiae Electrical and Mechanical Engineering, 16, 38–47. https://doi.org/10.47745/auseme-2024-0004

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Aboura, A., Abdou, A., Bouchala, T., Chebout, M., Abdelhadi, B., & KHABEL, M. (2025). Reconstruction of Defect Paths Using Eddy Current Testing Array 3D Imaging. Acta Universitatis Sapientiae Electrical and Mechanical Engineering, 16, 38–47. https://doi.org/10.47745/auseme-2024-0004
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