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MOS Electronic Nose for Alcohols and Solvents with Analysis by Hilbert-Huang Transform

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Title: MOS Electronic Nose for Alcohols and Solvents with Analysis by Hilbert-Huang Transform
Author: Lieberman, Mark
Department: School of Engineering
Program: Engineering
Advisor: Muresan, Radu
Abstract: This work investigates the potential use of temperature modulation of MOS gas sensors combined with the Hilbert-Huang transform (HHT) as a feature extraction mechanism for MOS based electronic noses. It specifically targets environments which are traditionally considered unsuitable for MOS gas sensors, such as those with high concentrations of ethanol. The expected applications are in the alcoholic beverage industry, specifically quality control and blending of spirits such as whiskey. An electronic nose was designed which includes an array of 12 commercial MOS gas sensor cells. These MOS sensors were selected based on their ability to tolerate high concentrations of reactive species. This system includes specialized firmware and desktop computer software to support the operation of the electronic nose. Five samples each of ethyl acetate, ethanol and isopropanol were prepared. The response of each of four sensors in an array was decomposed using ensemble empirical mode decomposition (EEMD) and the marginal Hilbert spectrum (MHS) was computed. A set of 72 frequency components was extracted from marginal Hilbert spectrum response of each sensor in an array of four sensor to produce a 288 element odor signature of each sample. The signatures were successfully clustered using principal component analysis (PCA) and self-organizing map. A neural net classifier identified the samples with very high accuracy.
Date: 2013
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