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Study On Precursory Feature Identification Of Coal And Rock Rupture Based On Electromagnetic Radiation

Posted on:2019-06-28Degree:MasterType:Thesis
Country:ChinaCandidate:Y LiFull Text:PDF
GTID:2371330563990605Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
Many countries in the world suffer from severe coal and rock disaster,China is one of them,in recent years due to the increasing depth and intensity of mining and increased ground stress,Roof collapse,deformation of the surrounding rock and other coal and other phenomena occur intensified.So that our image in the world's status greatly damaged.Therefore,it is very important to study the mechanism of occurrence and development of coal and rock disaster,so as to find a simple and effective method for monitoring and forecasting coal and rock dynamic disaster.In this paper,the combination of experimental research and theoretical analysis is used to study the mechanism and mechanism of electromagnetic radiation signal destruction.By applying the adaptive nonlinear filtering method to the noise reduction problem of coal and rock electromagnetic radiation.Then the model of precursor information recognition based on support vector machine is developed.Apply the example to verify the model.The first chapter elaborates the present situation of electromagnetic radiation,and elaborates the purpose and content of this paper.In the second chapter.In the third chapter,the macroscopic and microscopic description of the mechanism of deformation and rupture of coal and rock mass is carried out,and the mechanism and signal characteristics of electromagnetic radiation signal are summarized.In the fourth chapter,the characteristic parameters and signal characteristics of electromagnetic radiation are studied based on two kinds of electromagnetic radiation signal analysis methods,and the corresponding parameter identification and feature analysis are carried out.In chapter 5,the advantages of precursory information recognition model based on support vector machine(SVM)are analyzed and analyzed according to the statistical theory.Aiming at the problem of electromagnetic radiation acquisition,this paper presents a method to identify the precursory characteristics of coal and rock based on electromagnetic radiation.The model of coal rock rupture prediction is established and simulated by MATLAB software to verify its feasibility.
Keywords/Search Tags:electromagnetic radiation, coal rock rupture, denoising algorithm, prediction model, support vector machine
PDF Full Text Request
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