Detection of tube defect using the autoregressive algorithm
Easy detection and evaluation of defect in the tube structure is a continuous problem and remains a significant demand in tube inspection technologies. This study is aimed to automate defect detection using the pattern recognition approach based on the classification of high frequency stress wave si...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/18167/2/2015%20SCS.pdf http://eprints.utem.edu.my/id/eprint/18167/ http://www.techno-press.org/?page=search2&mode=result&title=optimum%20sensor%20damage%20detection&author=optimum%20sensor%20damage%20detection&keywords=optimum%20sensor%20damage%20detection&year=&yeartype=4&sem=on&was=on&scs=on&cac=on&sss=on&imm=on&gae=on http://dx.doi.org/10.12989/scs.2015.19.1.131 |
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http://eprints.utem.edu.my/id/eprint/18167/2/2015%20SCS.pdfhttp://eprints.utem.edu.my/id/eprint/18167/
http://www.techno-press.org/?page=search2&mode=result&title=optimum%20sensor%20damage%20detection&author=optimum%20sensor%20damage%20detection&keywords=optimum%20sensor%20damage%20detection&year=&yeartype=4&sem=on&was=on&scs=on&cac=on&sss=on&imm=on&gae=on
http://dx.doi.org/10.12989/scs.2015.19.1.131