Book ChapterDOI
Determination of Ash Content in Coal Using Laser-Induced Breakdown Spectroscopy with Multivariate Analysis
Hemalaxmi Rajavelu,Nilesh J. Vasa,Satyanarayanan Seshadri +2 more
- pp 399-402
TLDR
In this article, the average emission intensity of the inorganic elements increases with the ash content of the coal sample with R2 = 0.82 and resolution = 3.7% corresponding to the reference ash data.Abstract:
Laser-Induced Breakdown Spectroscopy (LIBS) technique is used to determine the emission intensity of inorganic elements, such as Si, Fe, Mg, Al, Ca, Na, and K in coal samples. The average emission intensity of the inorganic elements increases with the ash content of the coal sample with R2 = 0.82. Using the LIBS data, partial least square regression (PLSR)-based multivariate analysis was performed to determine the coal ash content. The PLS approach combined with the LIBS technique resulted in the coefficient of correlation R2 = 0.93, root-mean-square error RMSE = 3.5%, standard deviation SD = 11.7% and resolution = 3.7% corresponding to the reference ash data.read more
Citations
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Journal ArticleDOI
Exploring the effect of various factors for ash content estimation via ensemble learning: Color-texture features, particle size, and magnification
Yao Cui,Kanghui Zhang,Ziqi Lv,Huixuan Li,Shuang Song,Chenglian Zhang,Weidong Wang,Zhiqiang Xu +7 more
TL;DR: Wang et al. as mentioned in this paper explored the contribution of different features to the regressor quantitatively and qualitatively on the 0.5-0.25 (mm) particle size of datasets under magnification of 0.3, which they called the optimal condition.
References
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Journal ArticleDOI
Coal property analysis using laser-induced breakdown spectroscopy
TL;DR: Li et al. as discussed by the authors applied a non-linearized multivariate dominant factor based partial least square (PLS) model to analyze coal properties through laser-induced breakdown spectroscopy (LIBS).
Journal ArticleDOI
Extracting coal ash content from laser-induced breakdown spectroscopy (LIBS) spectra by multivariate analysis.
TL;DR: Results show that a good agreement is observed between the ash content provided by thermo-gravimetric analyzer and the LIBS measurements coupled to the PLS regression model for the unknown samples, and it is confirmed that this technique has good potential for quantitative analysis of theAsh content of coal.
Journal ArticleDOI
Determination of Ash Content of coal by Laser-Induced Breakdown Spectroscopy
Stefano Legnaioli,Beatrice Campanella,Stefano Pagnotta,Francesco Poggialini,Vincenzo Palleschi +4 more
TL;DR: In this article, the results on the application of Laser-Induced Breakdown Spectroscopy (LIBS) to the analysis of coal, for the determination of its Ash Content, are reported.
Journal ArticleDOI
Suitability of laser-induced breakdown spectroscopy in screening potential additives to mitigate fouling deposits
Soundaravalli Balakrishnan,V. Midhun Reddy,A. Mehta,Nilesh J. Vasa,Rajarathinavelu Nagarajan +4 more
TL;DR: In this article, laser-induced breakdown spectroscopy (LIBS) technique is proposed and demonstrated to screen potential additives to trap alkali elements in ash, which can suppress the growth rate of fouling deposits, and increase thermal efficiency of a coal-fired thermal power plant.