张强,张石磊,王海舰,赵轲,宋振铎.基于声发射信号的煤岩界面识别研究[J].电子测量与仪器学报,2017,31(2):230-237
基于声发射信号的煤岩界面识别研究
Study on identification of coal rock interface based on acoustic emission signal
  
DOI:10.13382/j.jemi.2017.02.010
中文关键词:  采煤机  煤岩识别  声发射信号  时域分析  小波分析  隶属度函数
英文关键词:shearer  coal rock interface  acoustic emission signal  time domain analysis  wavelet analysis  membership function
基金项目: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
作者单位
张强 1. 辽宁工程技术大学 机械工程学院阜新123000; 2.大连理工大学 工业装备结构分析国家重点实验室大连116023;3.重庆大学 机械传动国家重点实验室重庆400044 
张石磊 辽宁工程技术大学 机械工程学院阜新123000 
王海舰 辽宁工程技术大学 机械工程学院阜新123000 
赵轲 辽宁工程技术大学 机械工程学院阜新123000 
宋振铎 中国煤矿机械装备有限责任公司北京100011 
AuthorInstitution
Zhang Qiang 1.College of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, China; 2. State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116023, China; 3. Chongqing University, State Key Laboratory of Mechanical Transmission, Chongqing 400040, China 
Zhang Shilei College of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, China 
Wang Haijian College of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, China 
Zhao Ke College of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, China 
Song Zhenduo China National Coal Mining Equipment Co. Ltd., Beijing 100011, China 
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中文摘要:
      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。
英文摘要:
      To realize the automatic adjustment controlling the height of the roller in the cutting process of the shearer, a dynamic identification method of coal rock interface based on acoustic emission signal is proposed to test and extract the acoustic emission characteristic signals. Using time domain analysis method gets the time domain indexes under the different conditions, using wavelet analysis method extracts the coal rock cutting acoustic emission signal characteristic value. The different coal rock cut ratio under the condition of acoustic emission signal optimal membership function is established to dynamic monitoring coal and rock ratio, then the purpose of coal rock interface identification is achieved. The results of laboratory tests show that there is little difference between the trajectory of the roller and the coal rock, and the experimental results verify the accuracy and reliability of the recognition system.
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