基于小波优化EEMD的二氧化硫检测

doi:10.3969/j.issn.1000-1158.2020.06.20

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Abstract In order to solve the problem that SO₂ fluorescence signals was faint and always cannot be distinguished with noises, a novel method based on wavelet optimization ensemble empirical mode decomposition (EEMD) was proposed. The SO2 detection system had been built. Using the SO₂ detection system, SO₂ concentration can be detected. The average error of detection was 0.0011, and the correlation coefficients between SO₂ concentration and the fluorescence intensity was 0.9787. Wavelet optimization EEMD denoising method were applied to SO₂ detection system, the results showed that the signal noise ratio(SNR) was 224.7958, the mean squared error(MSE) was 1.01×10^-7, and the normalized correlation coefficient(NCC) was 0.9973. The correlation coefficients between SO2 concentration and fluorescence intensity was 0.9936. Compared with the wavelet denoising method and EEMD denoising method, the wavelet optimization EEMD method has the best denoising effect. The proposed method is superior to wavelet denoising method and EEMD denoising method.

Received: 02 August 2018 Published: 08 June 2020

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TB99

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	WANG Zhi-fang
	WANG Shu-tao
	WANG Gui-chuan
	CHE Xian-ge

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WANG Zhi-fang,WANG Shu-tao,WANG Gui-chuan, et al. Detection of SO₂ Based on EEMD Optimized by Wavelet[J]. Acta Metrologica Sinica, 2020, 41(6): 752-758.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2020.06.20 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2020/V41/I6/752

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