Continuous wide spectrum odor sensing for electronic nose system
| Autor: | Anyan Jiang, Youwen Hu, An Song, Wenli Zhang, Fengchun Tian, Zhao Zhenzhen |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Spectrometer
Electronic nose business.industry Computer science 010401 analytical chemistry Centroid Pattern recognition 02 engineering and technology 021001 nanoscience & nanotechnology 01 natural sciences Industrial and Manufacturing Engineering 0104 chemical sciences Support vector machine Euclidean distance Light intensity Odor Artificial intelligence Electrical and Electronic Engineering 0210 nano-technology business Test data |
| Zdroj: | Sensor Review. 38:223-230 |
| ISSN: | 0260-2288 |
| DOI: | 10.1108/sr-04-2017-0067 |
| Popis: | Purpose This paper aims to propose an odor sensing system based on wide spectrum for e-nose, based on comprehensive analysis on the merits and drawbacks of current e-nose. Design/methodology/approach The wide spectral light is used as the sensing medium in the e-nose system based on continuous wide spectrum (CWS) odor sensing, and the sensing response of each sensing element is the change of light intensity distribution. Findings Experimental results not only verify the feasibility and effectiveness of the proposed system but also show the effectiveness of least square support vector machine (LSSVM) in eliminating system errors. Practical implications Theoretical model of the system was constructed, and experimental tests were carried out by using NO2 and SO2. System errors in the test data were eliminated using the LSSVM, and the preprocessed data were classified by euclidean distance to centroids (EDC), k-nearest neighbor (KNN), support vector machine (SVM), LSSVM, respectively. Originality/value The system not only has the advantages of current e-nose but also realizes expansion of sensing array by means of light source and the spectrometer with their wide spectrum, high resolution characteristics which improve the detection accuracy and realize real-time detection. |
| Databáze: | OpenAIRE |
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