A Method Based on RF Spectral Featuresfor Evaluating the Porosity Degree in Ceramic Materials

Autor:	F.A. Huamán-Mamani, Jimmy Ludeña-Choez, Rudy M. Sanchez-Suarez, Juan J. Choquehuanca-Zevallos, D.L. Mayta-Ponce
Rok vydání:	2018
Předmět:	Patch antenna Support vector machine Materials science Field (physics) Acoustics visual_art Feature extraction visual_art.visual_art_medium Ceramic Radio frequency Porosity Degree (temperature)
Zdroj:	2018 IEEE MTT-S Latin America Microwave Conference (LAMC 2018).
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::147b3ff3452b8b62334348e3561dd23f https://doi.org/10.1109/lamc.2018.8699066 Zobrazit plný text záznamu