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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Detalles Bibliográficos
Autores principales: Saludes-Rodil, Sergio, Baeyens, Enrique, Rodríguez-Juan, Carlos P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482004/
https://www.ncbi.nlm.nih.gov/pubmed/25938201
http://dx.doi.org/10.3390/s150510100

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482004/
https://www.ncbi.nlm.nih.gov/pubmed/25938201
http://dx.doi.org/10.3390/s150510100

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