Classification Analysis Of High Frequency Stress Wave For Autonomous Detection Of Defect In Steel Tubes
Interpretation of propagated high frequency stress wave signals in steel tubes is noteworthy for defect identification.This paper demonstrated a successful new approach for autonomous defect detection in steel tubes using classification analysis of high frequency stress waves.Classification analysi...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AENSI
2014
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/21042/2/2014%20AJBAS.pdf http://eprints.utem.edu.my/id/eprint/21042/ http://www.ajbasweb.com/old/ajbas/2014/Special%203/251-257-special14.pdf |
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