DataVXResearch in Nondestructive EvaluationPaper
journal article·2013-01

Hybrid Signal Processing Approach for Enhanced Detection of Defects in EC-NDE

B. Sasi, Matteo Cacciola, C. Babu Rao, T. Jayakumar, Baldev Raj

Research in Nondestructive Evaluation· Volume 24· Issue 1
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Source abstract

Abstract

Abstract In eddy current (EC) testing, presence of lift–off and material property variation makes the defect detection as a challenging task. In view of this, a signal processing approach comprising of independent component analysis (ICA) and wavelet packet analysis (WPA) is attempted. In this paper, performance of hybrid signal processing approach and the resultant improvement in signal-to-ratio (SNR) is discussed. Keywords: eddy current NDEindependent component analysiswavelet packet analysis Notes 1The root mean square (rms) is the square root of the arithmetic mean of squares of original value, .
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Research context

OpenAlex topics: Non-Destructive Testing Techniques · Blind Source Separation Techniques · Ultrasonics and Acoustic Wave Propagation

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Nondestructive Evaluation Division, Indira Gandhi Centre for Atomic Research

University Mediterranea of Reggio Calabria, Faculty of Engineering–DIMET

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