Classification Analysis Of High Frequency Stress Wave For Autonomous Detection Of Defect In Steel Tubes

• Main Authors: Abd Halim, Zakiah, Jamaludin, Nordin, Junaidi, Syarif, Syed Yahya, Syed Yusaini
• Format: Article
• Language: English
• Published: AENSI 2014
• Subjects: T Technology (General); TJ Mechanical engineering and machinery
• 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
• Institution: Universiti Teknikal Malaysia Melaka

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...