Abstract
In this paper, a novel approach to Non-Destructive Testing (NDT) of defective materials for the aircraft industry is proposed, which utilizes an approach based on multifrequency and spectrogram eddy current method combined with an image analysis method previously applied for general-purpose full-reference image quality assessment (FR IQA). The proposed defect identification method is based on the use of the modified SSIM4 image quality metric. The developed method was thoroughly tested for various locations, sizes, and configurations of defects in the examined structure. Its application makes it possible to not only determine the presence of cracks but also estimate their size.
Highlights
An example of non-destructive technologies for structural integrity monitoring of the aerial components considered in this paper is the eddy current inspection performance on the PZL-130 Orlik aircraft structure
Inspection delivered during the Full-Scale Fatigue Test (FSFT) revealed the existence and development of more than 100 failure modes, which were detected and described
The performance of most of these improved metrics is significantly better in comparison to the “original” Structural Similarity (SSIM) for many image quality assessment (IQA) benchmarking datasets, their application for some other types of images, e.g., containing multiple distortions [36]
Summary
This research research aimed to develop develop universal identification identification algorithm that works apappropriately with defects of various sizes and orientations
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