Journal ArticleDOI
Impact Damage Detection and Identification Using Eddy Current Pulsed Thermography Through Integration of PCA and ICA
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TLDR
An integration of principal components analysis (PCA) and independent component analysis (ICA) on transient thermal videos has been proposed, which enables spatial and temporal patterns to be extracted according to the transient response behavior without any training knowledge.Abstract:
Eddy current pulsed thermography (ECPT) is implemented for detection and separation of impact damage and resulting damages in carbon fiber reinforced plastic (CFRP) samples. Complexity and nonhomogeneity of fiber texture as well as multiple defects limit detection identification and characterization from transient images of the ECPT. In this paper, an integration of principal component analysis (PCA) and independent component analysis (ICA) on transient thermal videos has been proposed. This method enables spatial and temporal patterns to be extracted according to the transient response behavior without any training knowledge. In the first step, using the PCA, the data is transformed to orthogonal principal component subspace and the dimension is reduced. Multichannel morphological component analysis, as an ICA method, is then implemented to deal with the sparse and independence property for detecting and separating the influences of different layers, defects, and their combination information in the CFRP. Because different transient behaviors exist, multiple types of defects can be identified and separated by calculating the cross-correlation of the estimated mixing vectors between impact the ECPT sequences and nondefect ECPT sequences.read more
Citations
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Optically and non-optically excited thermography for composites: A review
Ruizhen Yang,Yunze He +1 more
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Progress and trends in nondestructive testing and evaluation for wind turbine composite blade
Ruizhen Yang,Yunze He,Hong Zhang +2 more
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An overview of corrosion defect characterization using active infrared thermography
TL;DR: In this paper, an overview on the applications of infrared thermography for the detection and characterisation of general metal loss in metallic materials is presented, which represents the advances of thermography applications specifically in metal loss/thickness variation measurement along the recent literature.
Journal ArticleDOI
Temporal and spatial deep learning network for infrared thermal defect detection
TL;DR: Results show that visual geometry group-Unet (VGG- unet) cross learning structure can significantly improve the contrast between the defective and non-defective regions.
Journal ArticleDOI
Unsupervised Sparse Pattern Diagnostic of Defects With Inductive Thermography Imaging System
TL;DR: The proposed unsupervised method for diagnosing and monitoring defects in inductive thermography imaging system is fully automated and does not require manual selection from the user of the specific thermal frame images for defect diagnosis.
References
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Journal ArticleDOI
Pulse phase infrared thermography
Xavier Maldague,Sergio Marinetti +1 more
TL;DR: In this article, an approach combining both of pulse (PT) and modulated infrared thermography is proposed which combines simultaneously advantages both of PT and MODI, and the results are presented and the theory is discussed as well.
Journal ArticleDOI
Principal component thermography for flaw contrast enhancement and flaw depth characterisation in composite structures
TL;DR: In this article, principal component thermography (PCT) is applied to the non-destructive inspection of composite structures, and a simple analytical expression is derived that relates a characteristic time furnished by the decomposition to the flaw depth, providing a basis for flaw depth estimation.
Journal ArticleDOI
A feature extraction technique based on principal component analysis for pulsed eddy current ndt
TL;DR: In this paper, the authors introduced the application of principal component analysis (PCA) in extracting information from PEC responses, which has performed better than the conventional technique in the classification of defects.
Journal ArticleDOI
Carbon nanotube sensing skins for spatial strain and impact damage identification
TL;DR: In this paper, a conformable carbon nanotube-polyelectrolyte sensing skin fabricated via the layer-by-layer technique is proposed to monitor strain and impact damage over spatial areas.
Journal ArticleDOI
Statistical analysis of IR thermographic sequences by PCA
Sergio Marinetti,Ermanno G. Grinzato,Paolo Bison,E. Bozzi,M. Chimenti,Gabriele Pieri,Ovidio Salvetti +6 more
TL;DR: The Principal Component Analysis (PCA) is used to process IR image sequences to extract features and reduce redundancy by projecting the original data onto a system of orthogonal components.
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