Un sistema de inferencia difusa para la identificacion (A fuzzy inference system for the identification)

Jose de Jesus Rubio (jrubioa@ipn.mx)1, Ramon Silva Ortigoza (rsilvao@ipn.mx)2, Francisco Jacob Avila (favila11@udavinci.edu.mx)3, Adolfo Melendez (amelendez11@udavinci.edu.mx)3, Juan Manuel Stein (jstein11@udavinci.edu.mx)3

1Seccion de Estudios de Posgrado e Investigacion, ESIME Azcapotzalco, Instituto Politecnico Nacional
2Departamento de Mecatronica, CIDETEC, Instituto Politecnico Nacional
3Tecnologico de Estudios Superiores de Ecatepec

This paper appears in: Revista IEEE América Latina

Publication Date: Sept. 2015
Volume: 13,   Issue: 9 
ISSN: 1548-0992

Odor identification is an important area in a wide range of industries like cosmetics, food, beverages and medical diagnosis among others. Odor detection could be done through an array of gas sensors conformed as an electronic nose where a data acquisition module converts sensor signals to a standard output to be analyzed. To facilitate odors detection a system is required for the identification. This paper presents the results of an automated odor identification process implemented by a fuzzy system and an electronic nose. First, an electronic nose prototype is manufactured to detect organic compounds vapor using an array of five tin dioxide gas sensors, an arduino uno board is used as a data acquisition section. Second, an intelligent module with a fuzzy system is considered for the identification of the signals received by the electronic nose. This solution proposes a system to identify odors by using a personal computer. Results show an acceptable precision.

Index Terms:
Fuzzy systems,identification   

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