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A Wireless Electronic Nose System Using a Fe2O3 Gas Sensing Array and Least Squares Support Vector Regression
School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Biochemistry Center, No.49 Institute of China Electronics Technology Group Corporation, Harbin 150001, China
* Author to whom correspondence should be addressed.
Received: 13 December 2010; in revised form: 27 December 2010 / Accepted: 29 December 2010 / Published: 5 January 2011
Abstract: This paper describes the design and implementation of a wireless electronic nose (WEN) system which can online detect the combustible gases methane and hydrogen (CH4/H2) and estimate their concentrations, either singly or in mixtures. The system is composed of two wireless sensor nodes—a slave node and a master node. The former comprises a Fe2O3 gas sensing array for the combustible gas detection, a digital signal processor (DSP) system for real-time sampling and processing the sensor array data and a wireless transceiver unit (WTU) by which the detection results can be transmitted to the master node connected with a computer. A type of Fe2O3 gas sensor insensitive to humidity is developed for resistance to environmental influences. A threshold-based least square support vector regression (LS-SVR) estimator is implemented on a DSP for classification and concentration measurements. Experimental results confirm that LS-SVR produces higher accuracy compared with artificial neural networks (ANNs) and a faster convergence rate than the standard support vector regression (SVR). The designed WEN system effectively achieves gas mixture analysis in a real-time process.
Keywords: wireless electronic nose; combustible gas detection; Fe2O3 gas sensor; humidity insensitivity; DSP; least square support vector regression
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MDPI and ACS Style
Song, K.; Wang, Q.; Liu, Q.; Zhang, H.; Cheng, Y. A Wireless Electronic Nose System Using a Fe2O3 Gas Sensing Array and Least Squares Support Vector Regression. Sensors 2011, 11, 485-505.
Song K, Wang Q, Liu Q, Zhang H, Cheng Y. A Wireless Electronic Nose System Using a Fe2O3 Gas Sensing Array and Least Squares Support Vector Regression. Sensors. 2011; 11(1):485-505.
Song, Kai; Wang, Qi; Liu, Qi; Zhang, Hongquan; Cheng, Yingguo. 2011. "A Wireless Electronic Nose System Using a Fe2O3 Gas Sensing Array and Least Squares Support Vector Regression." Sensors 11, no. 1: 485-505.