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Quantitative analysis of steels using PLS with three data reduction methods based on LIBS
Kong HY(孔海洋); Sun LX(孙兰香); Hu JT(胡静涛); Xin Y(辛勇); Cong ZB(丛智博)
Department信息服务与智能控制技术研究室
Conference Name3rd International Conference on Chemical Engineering, Metallurgical Engineering and Metallic Materials, CMMM 2014
Conference DateJune 20-21, 2014
Conference PlaceGuilin, China
Author of SourceHongKong Control Engineering and Information; International Frontiers of science and; Science Research Association; technology Research Association
Source PublicationAdvanced Materials Research
PublisherTrans Tech Publications Ltd
Publication PlaceZurich-Durnten, Switzerland
2014
Pages578-582
Indexed ByEI
EI Accession number20143518121574
Contribution Rank1
ISSN1022-6680
ISBN978-3-03835-190-0
KeywordAtomic Emission Spectroscopy Chemical Analysis Least Squares Approximations
AbstractThree methods, selecting characteristic lines of elements contained in the samples manually, selecting intensive spectral partitions manually and the whole spectra, were used to reduce dimensions of spectra of 27 steel samples acquired by Laser-Induced Breakdown Spectroscopy. The PLS models were built based on the data after dimension reduction to quantify the Mn concentration of samples. The results show that, PLS model built based on selecting intensive spectral partitions can achieve the best result with the least complexity and the highest generalization ability. Selecting intensive partitions is a promising solution to reduce dimensions for original spectra. © (2014) Trans Tech Publications, Switzerland.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/15145
Collection信息服务与智能控制技术研究室
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
3.CAS Key Laboratory of Networked Control System, Shenyang 110016, China
Recommended Citation
GB/T 7714
Kong HY,Sun LX,Hu JT,et al. Quantitative analysis of steels using PLS with three data reduction methods based on LIBS[C]//HongKong Control Engineering and Information; International Frontiers of science and; Science Research Association; technology Research Association. Zurich-Durnten, Switzerland:Trans Tech Publications Ltd,2014:578-582.
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