info:eu-repo/semantics/article
A method based on rf spectral featuresfor evaluating the porosity degree in ceramic materials
Fecha
2018Registro en:
urn:isbn:9781538673331
Autor
Choquehuanca Zevallos, Juan José
Institución
Resumen
In this paper, a classification system of the degree of porosity of ceramic materials based on a Radio Frequency system is presented. The system uses methods from the machine learning field to learn patterns from spectral features measured with a circular patch antenna. Experimental results show that it is possible to indirectly get an estimate of the degree of porosity of ceramic samples getting low classification error rates.