Conference proceeding
Detection of ultrasonic flaw signals using wavelet transform techniques
IEEE 1992 Ultrasonics Symposium Proceedings, v 1992-, pp 1211-1215 vol.2
1992
Abstract
Ultrasonic detection and identification of flaws embedded in large-grained materials is often limited by the presence of high amplitude interfering echoes due to unresolvable grain boundaries. The split spectrum processing (SSP) technique using nonlinear algorithms is very effective in grain noise suppression and flaw detection. The wavelet transform technique is used to perform spectral decomposition, followed by the application of various nonlinear algorithms to obtain the output signal. The wavelet transform is based on the principle of constant Q or constant relative bandwidth frequency. Experimental results for the constant-Q SSP technique are presented. The experimental data indicate improved performance in identifying and extracting multiple targets compared to the conventional fixed bandwidth SSP.< >
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6 Record Views
3 citations in Scopus
Details
- Title
- Detection of ultrasonic flaw signals using wavelet transform techniques
- Creators
- J Xin - Drexel UniversityR Murthy - Drexel UniversityX LiN.M Bilgutay
- Publication Details
- IEEE 1992 Ultrasonics Symposium Proceedings, v 1992-, pp 1211-1215 vol.2
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Materials Science and Engineering
- Web of Science ID
- WOS:A1992BY55S00240
- Scopus ID
- 2-s2.0-30944451395
- Other Identifier
- 991019173552604721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Acoustics
- Engineering, Electrical & Electronic