Recognition of coal and gangue based on dielectric characteristics and geometric constraints under multi factors-Reference-Cited by-同舟云学术

Recognition of coal and gangue based on dielectric characteristics and geometric constraints under multi factors

Published:2021-09-06 Issue: Volume: Page:1-18
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Wang Xinquan¹²^ORCID,Wang Shuang¹²³,Guo Yongcun¹²³,Hu Kun¹²³,Wang Wenshan¹²³

Affiliation:

1. School of Mechanical Engineering, Anhui University of Science and Technology, Huainan, China

2. State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan, China

3. Mining Intelligent Technology and Equipment Provinces and Ministries Jointly Build aCollaborative Innovation Center, Anhui University of Science and Technology, Huainan, China

Funder

This work was supported in part by the National Natural Science Foundation of China under Grant

the Key Research and Development Program of Anhui Province under Grant

the Anhui Province Science and Technology Major Special Funding Project under Grant

the National Natural Science Foundation of China under Grant

the Anhui Natural Science Foundation Project under Grant

General Project of China Postdoctoral Science Foundation

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/15567036.2021.1968546

Reference26 articles.

1. Particle motion and separation behavior of coal in gas–solid separation fluidized bed

2. Dielectric characterization of bentonite clay at various moisture contents and with mixtures of biomass in the microwave spectrum

3. Coal and gangue recognition under four operating conditions by using image analysis and Relief-SVM

4. Classification of coal and gangue under multiple surface conditions via machine vision and relief-SVM

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