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Vol. 157, Issue 10, October 2013, pp. 57-67




Data Fusion of Electronic Nose and Electronic Tongue for Discrimination of Chinese Liquors
Hong MEN, Ke NING, Donglin CHEN

School of Automation Engineering, Northeast Dianli University, Jilin 132012, P. R. China
Tel.: +86-432-6480-7283
E-mail: menhong_china@hotmail.com, ning_ke910@163.com, 983034388@qq.com


Received: 10 August 2013   /Accepted: 25 October 2013   /Published: 31 October 2013

Digital Sensors and Sensor Sysstems


Abstract: The aim of this work is to improve the performance of electronic nose system and electronic tongue system by fusing the data of different sensor types, and a data fusion technique is presented in this paper. Eight different commercial brands of liquor were discriminated by using electronic nose and electronic tongue. Principle Component Analysis (PCA) was applied on the data of electronic nose and electronic tongue respectively, the classification result was not good enough. However, the result was improved by using the data fusion technique. Therefore, this technique can enhance the ability of PCA. Bayesian classifier and Bayesian classifier based on PCA were used to further classify the samples, two conclusions were proposed: compared with the single application of electronic tongue or electronic nose, the fusion technique has improved the classification accuracy; in contrast with the Bayesian classification, Bayesian classification based on PCA method has increased the classification speed trebly.


Keywords: Data fusion, Electronic nose, Electronic tongue, Chinese liquors, Bayesian classifier.


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