RT info:eu-repo/semantics/article
T1 Combining shape and contour features to improve tool wear monitoring in milling processes
A1 García Ordás, María Teresa
A1 Alegre Gutiérrez, Enrique
A1 González Castro, Víctor
A1 Alaiz Rodríguez, Rocío
A2 Ingenieria de Sistemas y Automatica
K1 Ingeniería de sistemas
K1 Tool wear
K1 Contour features
K1 Shape description
K1 Feature fusion
K1 B-ORCHIZ
K1 ShapeFeat
K1 3306.07 Maquinaria Rotatoria
AB [EN] In this paper, a new system based on combinations of a shape descriptor and a contour descriptor has been proposed for classifying inserts in milling processes according to their wear level following a computer vision based approach. To describe the wear region shape we have proposed a new descriptor called ShapeFeat and its contour has been characterized using the method BORCHIZ that, to the best of our knowledge, achieves the best performance for tool wear monitoring following a computer vision-based approach. Results show that the combination of BORCHIZ with ShapeFeat using a late fusion method improves the classification performance significantly, obtaining an accuracy of 91.44% in the binary classification (i.e. the classification of the wear as high or low) and 82.90% using three target classes (i.e. classification of the wear as high, medium or low). These results outperform the ones obtained by both descriptors used on their own, which achieve accuracies of 88.70 and 80.67% for two and three classes, respectively, using ShapeFeat and 87.06 and 80.24% with B-ORCHIZ. This study yielded encouraging results for the manufacturing community in order to classify automatically the inserts in terms of their wear for milling processes.
PB Taylor and Francis Group
SN 0020-7543
LK https://hdl.handle.net/10612/17716
UL https://hdl.handle.net/10612/17716
NO García-Ordás, M. T., Alegre-Gutiérrez, E., González-Castro, V., & Alaiz-Rodríguez, R. (2018). Combining shape and contour features to improve tool wear monitoring in milling processes. International Journal of Production Research, 56(11), 3901-3913. https://doi.org/10.1080/00207543.2018.1435919
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 21-may-2024