Non-destructive techniques are used widely in the metal industry in order to control the quality of materials. Eddy current testing is one of the most extensively used non-destructive techniques for inspecting electrically conductive materials at very high speeds that does not require any contact between the test piece and the sensor. This paper includes an overview of the fundamentals and main variables of eddy current testing. It also describes the state-of-the-art sensors and modern techniques such as multi-frequency and pulsed systems. Recent advances in complex models towards solving crack-sensor interaction, developments in instrumentation due to advances in electronic devices, and the evolution of data processing suggest that eddy current testing systems will be increasingly used in the future.

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Non-Destructive Techniques Based on Eddy Current Testing

A review of vibration-based damage detection in civil structures : from traditional methods to Machine Learning and Deep Learning applications

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.

A feature extraction technique based on principal component analysis for pulsed eddy current ndt

This article explores the use of principal component analysis (PCA) and T2 and Q-statistic measures to detect and distinguish damages in structures. For this study, two structures are used for expe...

Q-statistic and T2-statistic PCA-based measures for damage assessment in structures

Dimensionality reduction with IG-PCA and ensemble classifier for network intrusion detection

This paper proposes the use of multiple sensors in pulsed eddy-current detection for three-dimensional (3-D) subsurface flaw imaging. A normalization technique has been proposed to eliminate the characteristic variation among the Hall devices used in the probe and lift off effects. 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. The experimental tests have illustrated that the proposed method has delivered more defect information than the conventional peak value and time for pulsed eddy-current sensors.

Multiple sensors on pulsed eddy-current detection for 3-D subsurface crack assessment

This paper presents a new type of pulsed eddy current (PEC) sensor that has been designed for defect detection in aircraft lap-joint structures. The sensor employs a new excitation circuit that requires no additional signal amplification and the paper also reports compensation techniques that improve the sensing resolution and stability. A new hybrid feature of the peak value in time domain and the maximum frequency magnitude in frequency domain has been investigated. A test rig has been built and some results from aircraft samples are presented.

Design of a pulsed eddy current sensor for detection of defects in aircraft lap-joints

Electromagnetic and Eddy Current NDT: A Review

A new approach for defect classification and quantification by using pulsed eddy current sensors and integration of principal component analysis and wavelet transform for feature based signal interpretation is presented. After reviewing the limitation of current parameters of peak value and its arrival time from pulsed eddy current signals, a two-step framework for defect classification and quantification is proposed by using adopted features from principal component analysis and wavelet analysis. For defect classification and quantification, different features have been extracted from the pulsed eddy current signals. Experimental tests have been undertaken for ferrous and non-ferrous metal samples with manufactured defects. The results have illustrated the new approach has better performance than the current approaches for surface and sub-surface defect classification. The defect quantification performance, which is difficult by using current approaches, is impressive.

J Rudlin

Papers

A feature extraction technique based on principal component analysis for pulsed eddy current ndt

Multiple sensors on pulsed eddy-current detection for 3-D subsurface crack assessment

Design of a pulsed eddy current sensor for detection of defects in aircraft lap-joints

Electromagnetic and Eddy Current NDT: A Review

Wavelet-based PCA defect classification and quantification for pulsed eddy current NDT