Application of Hilbert Transform for Flaw Characterization in Ultrasonic Signals

K  Sudheera  and N  M  Nandhitha

doi:10.17485/ijst/2015/v8i13/56303

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Application of Hilbert Transform for Flaw Characterization in Ultrasonic Signals

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2015/v8i13/56303

Year: 2015, Volume: 8, Issue: 13, Pages: 1-6

Original Article

Application of Hilbert Transform for Flaw Characterization in Ultrasonic Signals

K. Sudheera^* and N. M. Nandhitha

¹Department of Electronics and Control, Sathyabama University, Chennai – 600119, Tamil Nadu, India; [email protected]

²Faculty of Electrical and Electronics, Sathyabama University; Chennai – 600119, Tamil Nadu, India; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Ultrasonic Testing is the highly reliable Non Destructive Testing (NDT) technique for flaw detection in steel weldments. Ultrasonic test signals are analyzes to identify the nature of the defect. In this paper, Hilbert transform is used for decomposing the ultrasonic test signals into high and low frequency components (namely Intrinsic Mode Function). These components are characterised in terms of Power Spectral Density (PSD). An attempt has been successfully made to classify the flaws based on PSD. It is found that power spectral density of planar defects is higher than volumetric defects for the fourth Intrinsic Mode Function.

Keywords: Flaw Characterisation, Hilbert Transform, Lack of Fusion, Power Spectral Density, Ultrasonic Signals