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Please use this identifier to cite or link to this item: http://hdl.handle.net/UCSP/15750
Title: An alternative method based on RF to classify porous ceramic materials
Authors: Choquehuanca Zevallos, Juan José
Huaman-Mamani, F.A.
Mayta Ponce, Denis Leonardo
Ludeña Choez, Jimmy Diestin
Keywords: Classification (of information);Frequency response;Learning systems;Microstrip antennas;Porosity;Radio waves;Slot antennas;Acoustical characteristics;Degree of porosity;Porous ceramic materials;Radio frequencies;Radio-frequency response;Relevant features;Resonance frequencies;Spectral response;Ceramic materials
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
metadata.dc.relation.uri: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057379843&doi=10.1109%2fICEAA.2018.8520362&partnerID=40&md5=f6a0281977eeae62ce37b0b54161a882
Abstract: Several properties of ceramic materials such as mechanical strength, acoustical characteristics, etc. are related to their degree of porosity. Traditional methods to estimate the porosity of materials used in construction are two slow and tedious to perform, rising the need of searching new techniques to get the degree of porosity in a fast and robust way. In this paper, a system to estimate indirectly the degree of porosity by classifying ceramic samples according the changes produced in the radio frequency response is presented. The proposal uses a patch antenna to extract relevant features that help to estimate the class of a given ceramic sample. Results show that it is possible to classify samples based on the changes of the spectral response that varies according their level of porosity since they affect the propagated waves around the antenna when they are located on the surface of the patch, and so impinges upon directly on resonance frequency and bandwidth of the antenna. © 2018 IEEE.
URI: http://repositorio.ucsp.edu.pe/handle/UCSP/15750
ISBN: 9781538667620
Appears in Collections:Artículos de investigación

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