Mixture gas component concentration analysis based on support vector machine and infrared spectrum

Peng Bai; Junhua Liu

Chinese Optics Letters, 2006, 4 (4): 04243, Published Online: Jun. 6, 2006

Mixture gas component concentration analysis based on support vector machine and infrared spectrum

论文大纲

Peng Bai ^1,2,*Junhua Liu ¹

Author Affiliations

¹ School of Electrical Engineering, Xi'an Jiaotong University, Xi'an 710049

² Institute of Science, Air Force Engineering University, Xi'an 710051

300.6340 Spectroscopy, infrared 200.4740 Optical processing 070.4790 Optical spectrum analysis

Abstract

A novel quantitative analysis method of multi-component mixture gas concentration based on support vector machine (SVM) and spectroscopy is proposed. Through transformation of the kernel function, the seriously overlapped and nonlinear spectrum data are transformed in high-dimensional space, but the high-dimensional data can be processed in the original space. Some factors, such as kernel function, range of the wavelength, and penalty coefficient, are discussed. This method is applied to the quantitative analysis of natural gas components concentration, and the component concentration maximal deviation is 2.28%.

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Peng Bai, Junhua Liu. Mixture gas component concentration analysis based on support vector machine and infrared spectrum[J]. Chinese Optics Letters, 2006, 4(4): 04243.

Mixture gas component concentration analysis based on support vector machine and infrared spectrum

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