Simulation study on identification of coal gangue under multi-factor conditions
Ran Guofeng
Lu Rui
Yu Jitu
Abstract：Water and slime are interference factors in the coal sorting process,which have adverse effects on feature extraction,feature reliability,and recognition accuracy of coal and gangue.Based on this,a combination of numerical simulation and experimental analysis was used to study the recognition system and its adaptability to water and slime factors in the coal sorting process.And the dielectric and geometric characteristics of coal and coal gangue under the action of water and slime were extracted,forming feature vectors.The relia-bility of feature vectors was tested using classification models such as BP neural network and Bayesian.The research results indicate that the influence of moisture content and slime coverage on dielectric and geometric properties of coal gangue can be ignored.The recogni-tion accuracy of model exceeds 90%,and the coal and coal gangue recognition method based on dielectric properties and geometric con-straints can adapt to multi factor working conditions.
Keywords：coal gangue recognitionwaterslimedielectric propertygeometric characteristic
Publication Date：2025-08-25
Online Publishing Date：2025-09-12(First online date of this platform, not the publication date of the document)
Pages：5( 92-96 )