Abstract—We promote a qualitative analysis algorithm to intelligently identify the ammonia, ethanol and their mixture. This work based on an electronic nose with a set of specific gas senor array building in a temperature controlled mini-cavity. A BP neural network has been trained for identification the samples inputs which preprocessed by principal component analysis (PCA) or linear discriminant analysis (LDA) method for dimension reduction. Results showed that ammonia, ethanol and different proportions of their mixture can be identified accurately. And the LDA performed better on dimension reduction in this case. 
 

Index Terms—electronic nose, pattern recognition, neural network, gas qualitative analysis

Cite: Chunsheng Kong, Wei Chen, Caihong Wei, and Min Pan, "A Qualitative Analysis Algorithm and Its Application in Mixed Gas Identification," International Journal of Electronics and Electrical Engineering, Vol. 4, No. 1, pp. 91-95, February 2016. doi: 10.18178/ijeee.4.1.91-95