Improving coal/gangue recognition efficiency based on liquid intervention with infrared imager at low emissivity-Reference-Cited by-同舟云学术

Improving coal/gangue recognition efficiency based on liquid intervention with infrared imager at low emissivity

Published:2022-02 Issue: Volume:189 Page:110445
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Zhang Jinwang,Han Xing,Cheng Dongliang

Funder

National Natural Science Foundation of China

China University of Mining and Technology

State Key Laboratory of Coal Resources and Safe Mining

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference26 articles.

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3. Laboratory and field validation of a LTCC recovery prediction model using relative size of the top coal blocks;Wang;Bull. Eng. Geol. Environ.,2021

4. A new research system for caving mechanism analysis and its application to sublevel top-coal caving mining;Wang;Int. J. Rock Mech. Min. Sci.,2016

5. Nondestructive identification of coal and gangue via near-infrared spectroscopy based on improved broad learning;Zou;IEEE Trans. Instrum. Meas.,2020

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