Quantitative analysis of nonmetal elements in steel using laser-induced breakdown spectroscopy combined with random forest

2015 ◽  
Vol 7 (6) ◽  
pp. 2425-2432 ◽  
Author(s):  
Shan Wu ◽  
Tianlong Zhang ◽  
Hongsheng Tang ◽  
Kang Wang ◽  
Xiaofeng Yang ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Random Forest ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Nonmetal Elements

Laser-induced breakdown spectroscopy (LIBS) combined with PLSR and RF was employed for the detection of nonmetal elements in steels.

A hybrid random forest method fusing wavelet transform and variable importance for the quantitative analysis of K in potassic salt ore using laser-induced breakdown spectroscopy

2020 ◽  
Vol 35 (6) ◽  
pp. 1131-1138 ◽  
Author(s):  
Yu Ding ◽  
Wan Zhang ◽  
Xingqiang Zhao ◽  
Liwen Zhang ◽  
Fei Yan
Keyword(s):  
Wavelet Transform ◽  
Quantitative Analysis ◽  
Random Forest ◽  
Variable Importance ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Random Forest Method ◽  
Laser Induced Breakdown

The aims of this study were to explore the feasibility of using LIBS technology combined with a hybrid RF algorithm for quantitative analysis of K in potash ore.

A novel approach for the quantitative analysis of multiple elements in steel based on laser-induced breakdown spectroscopy (LIBS) and random forest regression (RFR)

2014 ◽  
Vol 29 (12) ◽  
pp. 2323-2329 ◽  
Author(s):  
Tianlong Zhang ◽  
Long Liang ◽  
Kang Wang ◽  
Hongsheng Tang ◽  
Xiaofeng Yang ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Random Forest ◽  
Laser Induced Breakdown Spectroscopy ◽  
Random Forest Regression ◽  
Breakdown Spectroscopy ◽  
Novel Approach ◽  
Laser Induced Breakdown

LIBS combined with random forest regression (RFR) was proposed for the quantitative analysis of multiple elements in fourteen steel samples.

Quantitative analysis of toxic elements in polypropylene (PP) via laser-induced breakdown spectroscopy (LIBS) coupled with random forest regression based on variable importance (VI-RFR)

2019 ◽  
Vol 11 (37) ◽  
pp. 4769-4774 ◽  
Author(s):  
Ke Liu ◽  
Di Tian ◽  
Heyi Xu ◽  
Hongxia Wang ◽  
Guang Yang
Keyword(s):  
Quantitative Analysis ◽  
Random Forest ◽  
Environmental Protection ◽  
Human Health ◽  
Toxic Elements ◽  
Laser Induced Breakdown Spectroscopy ◽  
Random Forest Regression ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Plastic Products

With the extensive use of plastic products, determining the amount of toxic elements in plastic products has become a pressing issue for human health and environmental protection.

A NOVEL STRATEGY FOR DIRECT ELEMENTAL DETERMINATION USING LASER-INDUCED BREAKDOWN SPECTROSCOPY: FLUENCE CALIBRATION

2021 ◽  
Author(s):  
Raquel C Machado ◽  
Diego Victor Babos ◽  
Daniel Fernandes Andrade ◽  
Edenir Rodrigues Pereira-Filho
Keyword(s):  
Quantitative Analysis ◽  
Matrix Effects ◽  
Calibration Method ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Elemental Determination ◽  
Laser Induced Breakdown ◽  
Direct Solid Analysis ◽  
Novel Strategy ◽  
Direct Solid

Quantitative analysis requires several efforts to obtain an adequate calibration method to overcome matrix effects employing direct solid analysis by laser-induced breakdown spectroscopy (LIBS). To this end, in this study,...

Repeatability enhancing method for one-shot LIBS analysis via spectral intensity correction based on probability distribution

2021 ◽  
Author(s):  
Fu Chang ◽  
Jianhong Yang ◽  
Huili Lu ◽  
Haixia Li
Keyword(s):  
Quantitative Analysis ◽  
Probability Distribution ◽  
Spectral Intensity ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Multiple Measurements

It is significant to improve the repeatability of quantitative analysis of laser-induced breakdown spectroscopy (LIBS) in one-shot measurement where the skill of averaging is not valid because multiple measurements are...

A fast variable selection method for quantitative analysis of soils using laser-induced breakdown spectroscopy

2017 ◽  
Vol 32 (6) ◽  
pp. 1166-1176 ◽  
Author(s):  
Xiao Fu ◽  
Fa-Jie Duan ◽  
Ting-Ting Huang ◽  
Ling Ma ◽  
Jia-Jia Jiang ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Variable Selection ◽  
Selection Method ◽  
Laser Induced Breakdown Spectroscopy ◽  
Fast Variable ◽  
Breakdown Spectroscopy ◽  
Variable Selection Method ◽  
Laser Induced Breakdown

A fast variable selection method combining iPLS and mIPW-PLS is proposed to reduce the dimensions of the spectrum for LIBS quantitative analysis.

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