RT info:eu-repo/semantics/article
T1 Unsupervised classification of surface defects in wire rod production obtained by Eddy current sensors
A1 Saludes Rodil, Sergio
A1 Baeyens Lázaro, Enrique
A1 Rodríguez Juan, Carlos
K1 Dynamic time warping
K1 Cluster analysis
K1 Modified Fourier descriptors
K1 Eddy current inspection
K1 33 Ciencias Tecnológicas
AB 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 been successfully tested using industrial data. It is shown that it outperforms other classification alternatives, such as the modified Fourier descriptors.
PB MDPI
SN 1424-8220
YR 2015
FD 2015
LK https://uvadoc.uva.es/handle/10324/57823
UL https://uvadoc.uva.es/handle/10324/57823
LA eng
NO Sensors, 2015, vol. 18, n. 5, p. 10100-10117
NO Producción Científica
DS UVaDOC
RD 06-ago-2024