Reducing Sweeping Frequencies in Microwave NDT Employing Machine Learning Feature Selection

Reducing Sweeping Frequencies in Microwave NDT Employing Machine Learning Feature Selection

Nondestructive Testing (NDT) assessment of materials’ health condition is useful for classifying healthy from unhealthy structures or detecting flaws in metallic or dielectric structures. Performing structural health testing for coated/uncoated metallic or dielectric materials with the same testing...

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Bibliographic Details
Main Authors: Abdelniser Moomen, Abdulbaset Ali, Omar M. Ramahi
Format: Article
Language:English
Published: MDPI AG 2016-04-01
Series:Sensors
Subjects:
microwave sensors
nondestructive testing
feature selection
machine learning
Online Access:http://www.mdpi.com/1424-8220/16/4/559

Internet

http://www.mdpi.com/1424-8220/16/4/559

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