Estimation of the mechanical properties of steel <i>via</i> LIBS combined with canonical correlation analysis (CCA) and support vector regression (SVR)

Huang, Jianwei; Dong, Meirong; Lu, Shengzi; Li, Wenbing; Lü, Jidong; Liu, Chunyi; Yoo, Jae‐Hyuck

doi:10.1039/c8ja00030a

Cited by 40 publications

(28 citation statements)

References 41 publications

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“…Principal component analysis is one of the multivariate statistical technologies applied to extract essential information from a large dataset and effectively expressing this information as a new set of linearly uncorrelated orthogonal variables called principal components (PCs). 44,46 Each principal component of the PCA is equivalent to a linear combination of the original variables. In essence, PCA is an unsupervised linear dimensionality reduction technology, established on the principal of maximizing the variance of principal components.…”

Section: Methodsmentioning

confidence: 99%

“…In essence, PCA is an unsupervised linear dimensionality reduction technology, established on the principal of maximizing the variance of principal components. 44…”

Section: Methodsmentioning

confidence: 99%

“…In the PC score plot, points of the spectra with the same features will be situated close to each other, thereby forming a cluster. 44,46…”

Section: Methodsmentioning

confidence: 99%

“…The combination of LIBS with PCA has already shown successful results in many areas of knowledge for sample classification. 44–47…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of a Thermoelectric Cooler as a Sample Pre-Treatment Method for Laser-Induced Breakdown Spectroscopy (LIBS) Analysis of Liquid Samples

Harun

Zainal

2019

Appl Spectrosc

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In this study, the performance of a thermoelectric cooler (TEC) as a simple and easy-to-assemble freezing instrument has been evaluated. Experiments were carried out using samples with different viscosity ranging from 44.07 to 16 965.80 MPa. The analysis of sodium component of the samples by direct laser irradiation of frozen samples showed emission enhancement and higher signal-to-noise ratio compared to that of liquids. This work also focused on using chemometrics methods such as principal component analysis (PCA) to compare the principal component score separation and clustering pattern between frozen and liquid samples. The PCA was constructed by dividing the samples into two different categories: (i) type (paste, cream, gel, and oil) and (ii) viscosity (more than and less than 10 000 MPa). The frozen samples showed a more established separation and clustering compared to that acquired from the liquid samples. However, poorer clustering pattern of some frozen samples could be due to the heat transfer during laser–sample interaction inducing surface melting and splashing. The average laser-induced breakdown spectroscopy (LIBS) spectra were taken at as many different surface areas as possible to ensure the sample surface always maintain similar freezing temperature. This work showed that the TEC pre-treatment method had improved the LIBS measurement of the liquid samples.

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Section: Methodsmentioning

confidence: 99%

“…In essence, PCA is an unsupervised linear dimensionality reduction technology, established on the principal of maximizing the variance of principal components. 44…”

Section: Methodsmentioning

confidence: 99%

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Evaluation of a Thermoelectric Cooler as a Sample Pre-Treatment Method for Laser-Induced Breakdown Spectroscopy (LIBS) Analysis of Liquid Samples

Harun

Zainal

2019

Appl Spectrosc

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“…The component elements of the observed samples can be qualitatively and quantitatively analyzed according to the position and intensity of the emission spectra. As a fast and effective element detection technology, LIBS has been widely used in many fields, such as monitoring of the heavy metal pollution in environmental soil [13], detection of elements in steel [14] and coal [15], and detection of nutrients and heavy metals in rice [16] and vegetable [17]. Additionally, LIBS has been used for detecting pesticide residue, including detecting pesticides in foods such as spinach powder and rice pellets [18], apples and pears [19,20], and tissue fats and rendering oils [21].…”

Section: Introductionmentioning

confidence: 99%

Feasibility of Laser-Induced Breakdown Spectroscopy and Hyperspectral Imaging for Rapid Detection of Thiophanate-Methyl Residue on Mulberry Fruit

Meng

Yang

et al. 2019

IJMS

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An effective and rapid way to detect thiophanate-methyl residue on mulberry fruit is important for providing consumers with quality and safe of mulberry fruit. Chemical methods are complex, time-consuming, and costly, and can result in sample contamination. Rapid detection of thiophanate-methyl residue on mulberry fruit was studied using laser-induced breakdown spectroscopy (LIBS) and hyperspectral imaging (HSI) techniques. Principal component analysis (PCA) and partial least square regression (PLSR) were used to qualitatively and quantitatively analyze the data obtained by using LIBS and HSI on mulberry fruit samples with different thiophanate-methyl residues. The competitive adaptive reweighted sampling algorithm was used to select optimal variables. The results of model calibration were compared. The best result was given by the PLSR model that used the optimal preprocessed LIBS–HSI variables, with a correlation coefficient of 0.921 for the prediction set. The results of this research confirmed the feasibility of using LIBS and HSI for the rapid detection of thiophanate-methyl residue on mulberry fruit.

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Application of LIBS for the Failure Characteristics Prediction of Heat‐Resistant Steel

Dong

Cai

Yao

et al. 2023

Laser Induced Breakdown Spectroscopy (LIBS)

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Estimation of the mechanical properties of steel via LIBS combined with canonical correlation analysis (CCA) and support vector regression (SVR)

Abstract: The mechanical properties of steel with different aging degree microstructure was estimated by combining LIBS and chemometrics (CCA and SVR).

Cited by 40 publications

References 41 publications

Evaluation of a Thermoelectric Cooler as a Sample Pre-Treatment Method for Laser-Induced Breakdown Spectroscopy (LIBS) Analysis of Liquid Samples

Evaluation of a Thermoelectric Cooler as a Sample Pre-Treatment Method for Laser-Induced Breakdown Spectroscopy (LIBS) Analysis of Liquid Samples

Feasibility of Laser-Induced Breakdown Spectroscopy and Hyperspectral Imaging for Rapid Detection of Thiophanate-Methyl Residue on Mulberry Fruit

Application of LIBS for the Failure Characteristics Prediction of Heat‐Resistant Steel

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