基于声发射信号的煤岩界面识别研究

发布时间：2018-04-28 06:04

本文选题：采煤机 + 煤岩识别　；参考：《电子测量与仪器学报》2017年02期

【摘要】：为实现采煤机煤岩截割过程中滚筒高度的自动调节控制,提出一种基于声发射信号的煤岩界面动态识别方法,测试和提取不同煤岩截割比例条件下的声发射特征信号。采用时域分析方法得到不同工况下的时域指标,采用小波分析方法提取煤岩截割的声发射信号特征值,建立不同煤岩截割比例条件下声发射信号的最小隶属度函数,实现煤岩截割比例的实时在线监测。实验室截割实验测试结果表明,滚筒实际煤岩轨迹与截割煤岩轨迹之间差值的平均值、方差、标准差很小。实验结果验证了该识别系统的精确性与可靠性。
[Abstract]:In order to realize the automatic control of drum height in coal cutting process of coal mining machine, a dynamic identification method of coal and rock interface based on acoustic emission signal is proposed, and the acoustic emission characteristic signals under different cutting ratios of coal and rock are tested and extracted. Time domain analysis method is used to obtain the time domain indexes under different working conditions. Wavelet analysis method is used to extract the acoustic emission signal eigenvalues of coal and rock cutting, and the minimum membership function of acoustic emission signal under different coal and rock cutting ratios is established. The real-time on-line monitoring of cutting ratio of coal and rock is realized. The experimental results of laboratory cutting show that the average value, variance and standard deviation of the difference between the actual coal and rock tracks of the roller and the cut coal and rock trajectories are very small. The experimental results verify the accuracy and reliability of the recognition system.
【作者单位】：辽宁工程技术大学机械工程学院;大连理工大学工业装备结构分析国家重点实验室;重庆大学机械传动国家重点实验室;中国煤矿机械装备有限责任公司;
【基金】：国家自然科学基金(51504121) 辽宁省自然基金(201601324) 机械传动国家重点实验室开放基金(SKLMT-KFKT-201515)资助项目
【分类号】：TD231

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