Spectroscopy and Spectral Analysis, Volume. 42, Issue 2, 587(2022)
Influence of LIBS Analysis Model on Quantitative Analysis Precision of Aluminum Alloy
Figures & Tables(7)
Fig. 1. Diagram of LIBS experimental setup for element analysis in aluminum alloy
Fig. 3. The calibration curve of Cu element used multivariable linear regression method
Fig. 4. The calibration curve of Medium Gaussian Kernel SVR method
Table 1. Copper concentration in aluminum alloy of LD 7.8 set
View tableView in ArticleTable 1. Copper concentration in aluminum alloy of LD 7.8 set
样品 标准值/Wt% 标准偏差/Wt% E311 4.51 0.02 E312a 2.45 0.03 E313 1.52 0.02 E314 3.33 0.02 E315 0.927 0.007 E316 5.55 0.01
Table 2. Multivariable linear regression method, Medium Gaussian Kernel SVR method and the standardized PLSR method parameter comparison
View tableView in ArticleTable 2. Multivariable linear regression method, Medium Gaussian Kernel SVR method and the standardized PLSR method parameter comparison
定量方法 多变量线性
回归中值高斯核
SVR标准化
PLSRR2 0.923 0.969 0.997 RMSEC/Wt% 0.449 0.285 0.014 RMSEC/Wt% 0.256 0.154 0.129 ARE/% 9.154 5.237 3.053
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Ming-liang LI, Yu-jia DAI, Shuang QIN, Chao SONG, Xun GAO, Jing-quan LIN. Influence of LIBS Analysis Model on Quantitative Analysis Precision of Aluminum Alloy[J]. Spectroscopy and Spectral Analysis, 2022, 42(2): 587
Paper Information
Category: Research Articles
Received: Jan. 16, 2021
Accepted: Feb. 17, 2021
Published Online: Apr. 2, 2022
The Author Email: LI Ming-liang (690617379@qq.com)
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