Application of S-transform-based nonlinear processing for accurate LIBS quantitative analysis of iron ore slurry-Reference-Cited by-同舟云学术

Application of S-transform-based nonlinear processing for accurate LIBS quantitative analysis of iron ore slurry

Published:2024 Issue:17 Volume:149 Page:4407-4417
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Chen Tong¹²³,Sun Lanxiang¹²³^ORCID,Yu Haibin¹²³,Qi Lifeng¹³,Zhang Peng¹³,Dong Haiyan⁴

Affiliation:

1. State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China

2. University of Chinese Academy of Sciences, Beijing 100049, China

3. Liaoning Liaohe Laboratory, Shenyang 110169, China

4. Beijing Remote Sensing Equipment Research Institute, Beijing 100071, China

Abstract

A nonlinear analysis process integrates a feature selection unit based on the spectral distance variable selection method (SDVS), a nonlinear processing unit based on the S-transform (ST), and a partial least squares regression model (PLS).

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/AN/D4AN00631C

Reference40 articles.

1. Beneficiation Strategies for Removal of Silica and Alumina from Low-Grade Hematite-Goethite Iron Ores

2. Interactive effect of minerals on complex ore flotation: A brief review

3. Analysis of reverse cationic iron ore fines flotation using RSM-D-optimal design – An approach towards sustainability

4. Investigation of the interaction mechanism of depressants in the reverse cationic flotation of complex iron ores

5. Low‐Power Negative‐Differential‐Resistance Device for Sensing the Selective Protein via Supporter Molecule Engineering