Title
A Method Based on RF Spectral Featuresfor Evaluating the Porosity Degree in Ceramic Materials
Date Issued
02 July 2018
Access level
metadata only access
Resource Type
conference paper
Author(s)
SANCHEZ-SUAREZ, RUDY M.
CHOQUEHUANCA-ZEVALLOS, JUAN J.
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
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.
Language
English
OCDE Knowledge area
Cerámica
Ingeniería eléctrica, Ingeniería electrónica
Subjects
Scopus EID
2-s2.0-85065639480
Resource of which it is part
2018 IEEE MTT-S Latin America Microwave Conference, LAMC 2018 - Proceedings
ISBN of the container
978-153867333-1
Conference
2018 IEEE MTT-S Latin America Microwave Conference, LAMC 2018 - Proceedings
Sources of information:
Directorio de Producción Científica
Scopus