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...
Saved in:
Main Authors: | May, Z., Alam, M.K., Nayan, N.A., Rahman, N.A.A., Mahmud, M.S. |
---|---|
Format: | Article |
Published: |
Public Library of Science
2021
|
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/29593/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Acoustic emission corrosion feature extraction and severity prediction using hybrid wavelet packet transform and linear support vector classifier
by: May, Z., et al.
Published: (2021) -
Denoising of hydrogen evolution acoustic emission signal based on non-decimated stationary wavelet transform
by: May, Z., et al.
Published: (2020) -
Failure Severity Prediction for Protective-Coating Disbondment via the Classification of Acoustic Emission Signals
by: Rahman, N.A.A., et al.
Published: (2023) -
Analysis of Acoustic Emission Signal for Prediction of Corrosion on Carbon Steel Pipelines
by: Kafi, N.A., et al.
Published: (2021) -
Characterization of acoustic emission signal using wavelet transform
by: Kamalesh A/L Nadaraju
Published: (2023)