Journal ArticleDOI
A feature extraction technique based on principal component analysis for pulsed eddy current ndt
TLDR
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.Abstract:
Pulsed Eddy current (PEC) is a new emerging NDT technique for sub-surface defect detection. The technique mainly uses the response peak value and arrival to detect and quantify the defects. This could suffer from noise and be not sufficient to extract more information about the defects, e.g. depth information of defects. This paper introduces the application of principal component analysis in extracting information from PEC responses. A comparative test carried out shows that the introduced technique has performed better than the conventional technique in the classification of defects.read more
Citations
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Journal ArticleDOI
Non-Destructive Techniques Based on Eddy Current Testing
TL;DR: An overview of the fundamentals and main variables of eddy current testing is included, and the state-of-the-art sensors and modern techniques such as multi-frequency and pulsed systems are described.
Journal ArticleDOI
Q-statistic and T2-statistic PCA-based measures for damage assessment in structures
TL;DR: In this article, the use of principal component analysis (PCA) and T2 and Q-statistic measures to detect and distinguish damages in structures has been explored, and two structures are used for expe...
Journal ArticleDOI
Dimensionality reduction with IG-PCA and ensemble classifier for network intrusion detection
TL;DR: Experimental results show that the proposed hybrid dimensionality reduction method with the ensemble of the base learners contributes more critical features and significantly outperforms individual approaches, achieving high accuracy and low false alarm rates.
Journal ArticleDOI
Multiple sensors on pulsed eddy-current detection for 3-D subsurface crack assessment
TL;DR: In this article, a principal component analysis-based feature extraction that provides orthogonal information for multiple sensor fusion has been introduced and investigated using the features of multiple projection coefficients, 3-D surface flaws can be measured and reconstructed.
Journal ArticleDOI
Defect classification using a new feature for pulsed eddy current sensors
Gui Yun Tian,Ali Sophian +1 more
TL;DR: In this paper, a new feature, termed as the rising point, related to the propagation time of electromagnetic waves in metallic targets is proposed for defect classification, which can be detected and quantified robustly and lift-off can also be derived from the rising time.
References
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Journal ArticleDOI
Eigenfaces for recognition
Matthew Turk,Alex Pentland +1 more
TL;DR: A near-real-time computer system that can locate and track a subject's head, and then recognize the person by comparing characteristics of the face to those of known individuals, and that is easy to implement using a neural network architecture.
Proceedings ArticleDOI
Face recognition using eigenfaces
Matthew Turk,Alex Pentland +1 more
TL;DR: An approach to the detection and identification of human faces is presented, and a working, near-real-time face recognition system which tracks a subject's head and then recognizes the person by comparing characteristics of the face to those of known individuals is described.
Journal Article
Electromagnetic and Eddy Current NDT: A Review
Journal Article
Emerging NDT technologies and challenges at the beginning of the third millennium, Part 2
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Defect classification using a new feature for pulsed eddy current sensors
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