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作 者:孙思奇 李正友 杨沅锦 杨炳雄 SUN Siqi;LI Zhengyou;YANG Yuanjin;YANG Bingxiong(College of Mechanical and Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
出 处:《激光杂志》2025年第2期62-72,共11页Laser Journal
基 金:南京航空航天大学人事处管人才启动经费(No.1005-YQR 17020)。
摘 要:为提高可调谐半导体激光器吸收光谱学(TDLAS)技术甲烷气体浓度的检测精度,解决检测过程中直接吸收信号的噪声干扰问题。提出了一种互补集合经验模态分解(CEEMD)结合排列熵和S-G滤波的降噪方法,通过排列熵和S-G滤波来解决CEEMD分解中出现的虚假分量和噪声残留问题。通过仿真含不同噪声的甲烷气体吸收信号,并将所提方法与传统的CEEMD方法和小波变换方法作对比,验证所提方法的有效性。实验结果表明,相较于对比方法,所提方法吸收光谱曲线的Lorentz线型拟合的拟合度最高为0.991 1,吸收光谱幅值与甲烷气体浓度拟合度为0.998 46。该方法能够有效降低气体吸收信号中的噪声干扰,提高了系统的测量精度。In order to improve the accuracy of methane gas concentration detection by tunable semicondu-ctor la-ser absorption spectroscopy(TDLAS)technology,a noise reduction method of complementary ensemble empirical mo-dal decomposition(CEEMD)combined with permutation entropy and S-G filtering has been proposed for the problem of noise interference in the directly absorbed signals during the detection process,and permutation entropy and S-G filtering are used to solve the problem of CEEMD decomposition with the occurrence of spurious components and noise residual noise in the CEEMD decomposition.By simulating different noise contents of methane gas absorption signals and comparing with the traditional CEEMD method and wavelet transform method,the effectiveness of the proposed method is verified,which provides the basis for the subsequent experiments.The experiments show that the proposed method can effectively reduce the noise interference in the gas absorption signal and improve the measurement accuracy of the system,compared with the comparative methods,with the highest goodness-of-fit of 0.9911 for the Lorentz line fit of the absorption spectrum curve,and the goodness-of-fit of the absorption spectrum amplitude to the methane gas concentration of 0.99846.
关 键 词:TDLAS 直接吸收技术 互补集合经验模态分解 排列熵 S-G滤波
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