A Feature Extraction Technique Based on Factor Analysis for Pulsed Eddy Current Defects Categorization
Pulsed eddy current (PEC) is an advance Non-destructive testing that is widely used in multiple industries for surface and subsurface defect detection. Normally, the conventional features extractions are conducted based on time to peak and peak value response. However, signals extraction could be a...
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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
Institute of Physics Publishing
2019
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069002471&doi=10.1088%2f1757-899X%2f554%2f1%2f012001&partnerID=40&md5=f491bdc7bd80e267b9945871013b24c3 http://eprints.utp.edu.my/23637/ |
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| Summary: | Pulsed eddy current (PEC) is an advance Non-destructive testing that is widely used in multiple industries for surface and subsurface defect detection. Normally, the conventional features extractions are conducted based on time to peak and peak value response. However, signals extraction could be a confusing for a thin specimen because times to peak for both surface and subsurface defects are occurred at almost similar time. This paper introduced the application of confirmatory Factor Analysis for defect categorizing for stainless steel thin plate. Through this statistical method, two categories of defects namely surface and subsurface defects are clearly to be distinguished between one to another. © Published under licence by IOP Publishing Ltd. |
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