Ultra-repeatability measurement of the coal calorific value by XRF assisted LIBS

Abstract

The calorific value of coal mainly depends on the content of combustible organic elements and ash, which is a comprehensive indicator of coal quality. It is of great significance to...

Development and industrial application of LIBS-XRF coal quality analyzer by combining PCA and PLS regression methods

“…The normalization method is consistent with LIBS for the elimination of the magnitude difference between the LIBS and XRF data. Based on the results of previous spectral line selection, 26 the C, H, Na lines in the LIBS spectrum and the Al, Ca, Fe, K, Mg, Mn, S, Si, Ti, lines in the XRF spectrum were directly selected for the following modeling.…”

“…The combination of the two methods can not only measure organic elements in coal, but also measure the inorganic elements with high stability, thus forming a new coal quality analysis method with high measurement repeatability. We have previously used a chemometric regression algorithm combining principal component analysis (PCA) and PLS in experiments to verify the feasibility of this method, [26][27][28] and the measurement repeatability of the coal caloric value has met the requirements of national standard. It is worth mentioning that PCA is an unsupervised learning method that can not only adjust the combination of multivariate data information to extract fewer integrated variable features to explain most of the information obtained from the original data, but can also reduce the dimensionality of the high-dimensional data space by using the principle of minimal loss of data information.…”

Atomic spectrometry update: review of advances in the analysis of metals, chemicals and materials

“…A contribution by Li et al 80 was in the field of calorific value measurement and described a method of determining light elements associated with the organic fraction using LIBS and inorganic ash forming elements using XRF. The combined approach greatly improved the measurement repeatability of the coal calorific value.…”

Ultra-repeatability measurement of calorific value of coal by NIRS-XRF

“…30 In summary, a single NIRS or XRF can be used to analyze the organic or inorganic components in coal respectively, but the caloric value is not only positively correlated with the organic content in coal, but also negatively correlated with the inorganic content. 31,32 In this work, we carried out the experiment of combining NIRS and XRF to quantitatively analyze the caloric value of coal, and focused on exploring the spectral preprocessing and modeling methods to verify the feasibility of NIRS-XRF for high repeatability measurement of coal caloric value.…”