Acoustic emission corrosion feature extraction and severity prediction using hybrid wavelet packet transform and linear support vector classifier
Corrosion in carbon-steel pipelines leads to failure, which is a major cause of breakdown maintenance in the oil and gas industries. The acoustic emission (AE) signal is a reliable method for corrosion detection and classification in the modern Structural Health Monitoring (SHM) system. The efficien...
| Main Authors: | May, Z., Alam, M.K., Nayan, N.A., Rahman, N.A.A., Mahmud, M.S. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.32447 / |
| Published: |
Public Library of Science
2021
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122003922&doi=10.1371%2fjournal.pone.0261040&partnerID=40&md5=d4a15d6f950a54dcb65924af2d5bcfb6 http://eprints.utp.edu.my/32447/ |
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