Quantitative Analysis of Steels Using PLS with Three Data Reduction Methods Based on LIBS

Hai Yang Kong; Lan Xiang Sun; Jing Tao Hu; Yong Xin; Zhi Bo Cong

doi:10.4028/www.scientific.net/AMR.997.578

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 997Quantitative Analysis of Steels Using PLS with...

Quantitative Analysis of Steels Using PLS with Three Data Reduction Methods Based on LIBS

Abstract:

Three 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.

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Periodical:

Advanced Materials Research (Volume 997)

Pages:

578-582

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.997.578

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Online since:

August 2014

Authors:

Hai Yang Kong, Lan Xiang Sun*, Jing Tao Hu, Yong Xin, Zhi Bo Cong

Keywords:

Laser-Induced Breakdown Spectroscopy, Partial Least Squares, Quantitative Analysis, Spectral Reduction

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