Optimization of Electronic Nose Sensor Array and its Application in the Classification of Vinegar

Abstract:

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Five kinds of vinegars were measured by a gas sensor array composed of six TGS gas sensors. The sensor array should be optimized by the minimal Wilks statistic value, then, the four best sensor array used to detect the type of vinegars were formed, Principal Component Analysis (PCA) and Linear discriminant analysis (LDA) were applied to analyze the data of primary and optimized sensor array. The results indicated that optimization sensor array could be more adaptable to recognize the five kinds of vinegars. Thereby the given optimization method is effective.

Info:

Periodical:

Advanced Materials Research (Volumes 121-122)

Edited by:

Donald C. Wunsch II, Honghua Tan, Dehuai Zeng, Qi Luo

Pages:

27-32

DOI:

10.4028/www.scientific.net/AMR.121-122.27

Citation:

H. Men et al., "Optimization of Electronic Nose Sensor Array and its Application in the Classification of Vinegar", Advanced Materials Research, Vols. 121-122, pp. 27-32, 2010

Online since:

June 2010

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Price:

$35.00

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