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 …

Pulsed eddy current (PEC) non-destructive testing and evaluation (NDT&E) has been
around for some time and it is still attracting extensive attention from researchers around the …

Handling redundant and irrelevant features in high-dimension datasets has caused a long-
term challenge for network anomaly detection. Eliminating such features with spectral …

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 …

The lift-off effect is commonly known to be one of the main obstacles for effective eddy
current NDT testing as it can easily mask defect signals. Pulsed eddy current techniques …

The objective of this study is to identify defects such as surface cracks, subsurface defects
and metal losses using feature based pulsed eddy current sensors. A new feature, termed …

A novel deep learning based eddy current inversion algorithm is proposed and investigated
in this paper. Eddy current testing (ECT) for defects detection problem is adopted to …

The Pulsed Eddy Current (PEC) technique is an effective method of quantifying defects in
multi-layer structures. It is difficult to detect defects in riveted structures of aging aircraft …

Damage classification is an important issue within SHM going beyond the purely damage
detection. This paper proposes a data‐driven statistical approach for damage classification …

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 …