Test system for defect detection in cementitious material with artificial neural network
This paper introduces a newly developed test system for defect detection, classification of number of defects andidentification of defect materials in cement-based products. With the system, the pattern of ultrasonic waves for each case ofspecimen can be obtained from direct and indirect measurement...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Prince of Songkla University
2013-04-01
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| Series: | Songklanakarin Journal of Science and Technology (SJST) |
| Subjects: | |
| Online Access: | http://rdo.psu.ac.th/sjstweb/journal/35-2/35-2_217-225.pdf |