A Comprehensive Evaluation Model for Optimizing the Sensor Array of Electronic Nose

Author:

Peng Zhi1,Zhao Yongli1ORCID,Yin Jianxin1,Peng Peng1,Ba Fushuai1,Liu Xiaolong2,Guo Youmin3,Rong Qian2,Zhang Yafei1

Affiliation:

1. School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China

2. School of Materials, Sun Yat-sen University, Shenzhen 518107, China

3. School and Materials Science and Technology, Anhui University, Hefei 230601, China

Abstract

As the acquisition unit of gas information, the sensor array directly determines the overall performance of the electronic nose system (E-nose). This paper proposed a new method for optimizing the sensor array. Firstly, four evaluation indicators (sensitivity, selectivity, correlation, and repeatability) were selected to evaluate the sensor array. Subsequently, different evaluation indicators were assigned different weight values according to their contributions to the overall performance of the E-nose. Finally, a comprehensive evaluation model was established based on the EWM-TOPSIS algorithm to optimize the sensor array. In order to verify the effectiveness of the as-proposed model, it was applied to the optimization of the E-nose sensor array composed of 10 gas sensors, and the influence of the sensor array optimization on the gas recognition ability of the E-nose was investigated. The experimental results showed that the optimized sensor array can identify the CO-CH4 gas mixtures with an accuracy of 96.5%, which a significant improvement compared with the accuracy of 78.3% before the sensor array optimization.

Funder

Major Special Science and Technology project of Anhui Province

Key Research and Development Program of Anhui Province

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

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