高电压技术2011，Vol.37Issue(5)：1166-1171,6.
SF6气体分解组分红外光谱信号的去噪与背景扣除
SF6 Gas Decomposition Components IR Denoising and Background Deduction
摘要
Abstract
According to the characteristic of the background signal in low-frequency belt of SF6 gas decomposition components spectrogram, we put forward an algorithm to deduct background signal in IR spectral signals of SF6 gas decomposition components based on wavelet multi-resolution analysis. Firstly, we de-noise the wavelet in the original spectrogram; then, we deduct the background signal by analyzing wavelet multi-resolution and revising the spike based on the first derivative characteristics of Gaussian function; finally, we obtain the IR spectral signals with background signal deducted. The de-noising results of SO2 F2 simulative infrared spectra and SO2 true infrared spectra reveal that the algorithm can effectively solve the noise and background interference problems exiting in analyzing the SF6 gas decomposition components by infrared spectroscopic and is favorable for improving the precision of quantitative analysis.关键词
SF6气体分解组分/红外光谱/小波去噪/背景扣除/曲线背景/斜坡背景/小波多分辨分析Key words
SF6 gas decomposition components/ infrared spectrum/ wavelet denoising/ background deduction/curves background/ slope background/ wavelet multi-resolution analysis分类
信息技术与安全科学引用本文复制引用
胡耀垓,张晓星,王震,赵正予..SF6气体分解组分红外光谱信号的去噪与背景扣除[J].高电压技术,2011,37(5):1166-1171,6.基金项目
国家重点基础研究发展计划(973计划)(2009CB724506) （973计划）
输配电装备及系统安全与新技术国家重点实验室研究项目(2007DA10512708406). （2007DA10512708406）
