Unsupervised Classification of Surface Defects in Wire Rod Production Obtained by Eddy Current Sensors

Unsupervised Classification of Surface Defects in Wire Rod Production Obtained by Eddy Current Sensors

An unsupervised approach to classify surface defects in wire rod manufacturing is developed in this paper. The defects are extracted from an eddy current signal and classified using a clustering technique that uses the dynamic time warping distance as the dissimilarity measure. The new approach has...

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Bibliographic Details
Main Authors: Sergio Saludes-Rodil, Enrique Baeyens, Carlos P. Rodríguez-Juan
Format: Article
Language:English
Published: MDPI AG 2015-04-01
Series:Sensors
Subjects:
dynamic time warping
cluster analysis
modified Fourier descriptors
unsupervised classification
wire rod manufacturing
eddy current inspection
nondestructive testing
Online Access:http://www.mdpi.com/1424-8220/15/5/10100

Internet

http://www.mdpi.com/1424-8220/15/5/10100

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