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Technique & Research On Coal Powder Preparation Producing Process Computer Simulation System

Posted on:2003-03-13Degree:MasterType:Thesis
Country:ChinaCandidate:Y XieFull Text:PDF
GTID:2168360065955110Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
In recent years, many cement producing lines with new technology and advanced automatic level have been built up in our country. These producing lines need quantities of operators with high abilities of operating. This implies that a great deal of operators and engineers with high abilities should been trained continuously.Cement Producing Process Computer Simulation System (CPPCSS) is a highlight of 211 Engineering in Wuhan University of Technology. The Coal Powder Preparation System Computer Simulation described in this paper is one of the subsystems of it. The author researches the following contents based on this system.Firstly, according to referring to a lot of references and visiting on the spot, the author become familiar with the cement producing process, which includes the coal mill system producing process. These contents are introduces in the paper.Then, considering the complexity of coal mill system, the author build up the models of this system with neural network. The improved EBP neural network algorithm is used in this system. Based on this method, according to the data gathering from the producing spot, and by using the neural network toolbox for MATLAB, the author trains and researches the neural network model. The results indicate that the method was efficient.Thirdly, according to studying the running principles and the craftwork characteristics of the main machine of the cement coal mill system and expert knowledge about this system, researching the fuzzy theory, the neural network and fault diagnosis technique, and by using the fuzzy inference system toolbox for MATLAB, a fault diagnosis method is proposed based on ANFIS network for three working status of machine of coal milling(normal -, storehouse stop up with coal powder and molten steel too small to work in order)molten steel which is a try to build a method of combining the fuzzy logic and neural network and use it to fault diagnostic system of coal mill system. In this paper, the research has some theories and practical value .Fourthly, the author analyzes and researches this system in detail. And the whole simulation frame of it is introduced. Moreover, the programme of the algorithm, which is the main of the whole cement coal mill system computer simulation, is also introduced in this paper.Fifthly, the three-dimensional model of the simulation system based on VRML is introduced and shown in this paper.At last, the author summarizes the whole paper and points out the future direction of the development of the system.The research in this paper not only has important theoretical and practical values in cement and other industries, but also makes solid basis to the post-development of CPPCSS.
Keywords/Search Tags:computer simulation, coal mill producing process, fuzzy inference, neural network, fault diagnosis
PDF Full Text Request
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