封面
声明
致谢
中文摘要
英文摘要
目录
变量注释表
1 绪论
1.1 课题来源及背景(Project Origin and Background)
1.2 课题研究现状及存在问题(Research Status and Problems)
1.3 课题研究内容与方法(Research Contents and Methods)
1.4 课题研究意义(Research Significance)
1.5 论文结构(Structure of Thesis)
2 基于刮板输送机负载预测的采煤机调速系统总体设计
2.1 综采装备的结构原理与协同工作过程(Structural Principle and Working Process of Coal Mining Equipments)
2.2 基于刮板输送机负载预测的采煤机调速系统的功能(The Function of Shearer Speed Control System Based on Scraper Conveyor Load Prediction)
2.3 基于刮板输送机负载预测的采煤机调速系统设计(The Design of Shearer Speed Control System Based on Scraper Conveyor Load Prediction)
2.4 本章小结(Summary)
3基于小波神经网络的刮板输送机负载预测方法研究
3.1 刮板输送机负载与电流关系分析(Analysis the Relationship Between Load and Current for Scraper Conveyor)
3.2 小波神经网络概述(Introduction of Wavelet Neural Network)
3.3 基于小波神经网络的刮板输送机负载预测模型的建立(Build the Scraper Conveyor Load Prediction Model Based on Wavelet Neural Network)
3.4 基于小波神经网络的刮板输送机负载预测仿真分析(The Simulation of Scraper Conveyor Load Prediction Based on Wavelet Neural Network)
3.5 本章小结(Summary)
4 基于刮板输送机负载预测的采煤机调速策略研究
4.1 采煤机调速模型的建立(Build the Shearer Speed Model)
4.2 基于模糊逻辑的刮板输送机负载状态判定(The Judgment of Load State for Scraper Conveyor Based on Fuzzy Logic)
4.3 不同负载状态下采煤机调速范围的确定(Ensure the Different Shearer Speed Range Under Load Condition)
4.4 基于 Elman 神经网络的采煤机调速控制(The Shearer Speed Control Method Based on Elman Neural Network)
4.5 本章小结(Summary)
5 工业性试验
5.1 71507 综采工作面简介( Brief Introduction to 71507 Fully Mechanized Coal Mining Face)
5.2 基于刮板输送机负载预测的采煤机调速系统软件设计( The Software Design of Shearer Speed Control System Based on Scraper Conveyor Load Prediction)
5.3 试验方案设计及结果分析(Design on Scheme and Analysis of Result)
5.4 本章小结(Summary)
6 总结与展望
参考文献
作者简历
学位论文数据集