IEEE International Instrumentation and Measurement Technology Conference - I2MTC 2023, Kuala Lumpur (Malaysia). 22-25 May 2023
Summary:
This paper presents the application of a dielectric resonator sensor to characterize glycerin solutions. Air and nine different concentrations were measured within a relative permittivity range from 1 to 78.3. Principal Component Analysis (PCA) and Support Vector Machine (SVM) were used to perform automatic classification with an 100% accuracy and the regression of both concentration and permittivity with a RMSE of 0.34% and 0.287 respectively.
Layman's summary:
Este artículo presenta la aplicación de un sensor resonador dieléctrico para caracterizar disoluciones de glicerina. Se midieron nueve concentraciones diferentes dentro de un rango de permitividad relativa de 1 a 78,3. Se utilizó el análisis de componentes principales (PCA) y la Support Vector Machine (SVM) para realizar una clasificación automática alcanzando una precisión del 100 %;. También se realizó una regresión para estimar tanto la concentración de glicerina como de la permitividad de la disolución, alcanzando un RMSE de 0,34 % y 0,287 respectivamente.
Keywords: Dielectric resonator, microwave sensor, machine learning, dielectric characterization, glycerin purification
DOI: 
https://doi.org/10.1109/I2MTC53148.2023.10176097
Published in I2MTC 2023, pp: 1-5, ISBN: 978-1-6654-5384-4
Publication date: 2023-07-13.
Citation:
M. Monteagudo Honrubia, F.J. Herraiz-Martínez, J. Matanza, Automatic classification and permittivity estimation of glycerin solutions using a dielectric resonator sensor and machine learning techniques, IEEE International Instrumentation and Measurement Technology Conference - I2MTC 2023, Kuala Lumpur (Malaysia). 22-25 May 2023. In: I2MTC 2023: Conference proceedings, ISBN: 978-1-6654-5384-4
