Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015

Application Research for Ultrasonic Flaw Identification Based on Support Vector Machine

Authors
Jing Huang, Binglei Guan
Corresponding Author
Jing Huang
Available Online December 2015.
DOI
https://doi.org/10.2991/icmmcce-15.2015.206How to use a DOI?
Keywords
Ultrasonic Testing; Flaw Identification; Support Vector Machine (SVM); Pattern Classification
Abstract
Automatic identification of flaws is very important for ultrasonic nondestructive testing and evaluation of pipelines. A novel automatic identification approach of flaws using support vector machine (SVM) is presented. Wavelet transform is applied to feature extraction of ultrasonic echo signals, and SVM is to perform the identification task. To validate this approach, some experiments are performed. The results show that unlike conventional and artificial neural networks (ANN) identification methods the new technique performs better than conventional evaluation ones with advantages of high identification performance for pipeline flaws, lower cost, excellent generalization.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
Part of series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
978-94-6252-133-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmcce-15.2015.206How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jing Huang
AU  - Binglei Guan
PY  - 2015/12
DA  - 2015/12
TI  - Application Research for Ultrasonic Flaw Identification Based on Support Vector Machine
BT  - 2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.206
DO  - https://doi.org/10.2991/icmmcce-15.2015.206
ID  - Huang2015/12
ER  -