Work

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

Year: 2015

Type: article

Abstract: 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.

Source: Sensors

DOI: 10.3390/s150510100

Authors: Sergio Saludes-Rodil, Enrique Baeyens, Carlos Rodríguez-Juan

Institutions: CARTIF, Universidad de Valladolid

Language: English

Topic: Non-Destructive Testing Techniques

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,137

Funder: Ministerio de Economía y Competitividad