基于小波包与SOM神经网络的截齿磨损状态识别
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摘要
为实现采煤机截割过程中截齿磨损状态的实时在线监测,采用声发射传感器对不同磨损程度截齿截割时的声发射信号进行采集,采用小波包分析方法分析声发射信号不同频带能量的变化规律,建立能量值的样本空间,构建基于SOM神经网络的截齿磨损识别模型,实现对截齿不同磨损状态的在线监测。通过随机测试实验对截齿磨损状态识别模型进行验证,结果表明,基于小波包分析与SOM神经网络的截齿预测磨损状态识别模型识别精度较高,测试样本识别精度约95%。研究结果为准确识别截齿的磨损状态、提高采煤机的工作效率提供一种重要的技术手段。
In order to realize the real-time monitoring on the wear degree of coal shearer picks in the cutting process,the acoustic emission signals under individual wear degrees are collected via acoustic emission sensors. The wavelet packet analysis is used to analyze the trend of the signal under individual wave band,the sample space of the energy is established,and the pick wear identification model based on SOM(Self Organizing Maps) neural network is built to realize the real-time monitoring of the pick wear degree. The model is proved via random testing experiments. The results show that the accuracy of the model,which is based on wavelet packet analysis and SOM neural network,is high,and the accuracy is about 95%. The results provide an important technical mean for identifying the wear degree of picks precisely and improving the work efficiency.
In order to realize the real-time monitoring on the wear degree of coal shearer picks in the cutting process,the acoustic emission signals under individual wear degrees are collected via acoustic emission sensors. The wavelet packet analysis is used to analyze the trend of the signal under individual wave band,the sample space of the energy is established,and the pick wear identification model based on SOM(Self Organizing Maps) neural network is built to realize the real-time monitoring of the pick wear degree. The model is proved via random testing experiments. The results show that the accuracy of the model,which is based on wavelet packet analysis and SOM neural network,is high,and the accuracy is about 95%. The results provide an important technical mean for identifying the wear degree of picks precisely and improving the work efficiency.
引文
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[13]张强,刘志恒,王海舰,等.基于BP神经网络的截齿磨损程度在线监测[J].中国机械工程,2017,28(9):1062-1068.ZHANG Qiang,LIU Zhiheng,WANG Haijian,et al.On-line monitoring of pick’s wear degrees based on BP neural network[J].China Mechanical Engineering,2017,28(9):1062-1068.
[14]张强,张石磊,王海舰,等.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.ZHANG Qiang,ZHANG Shilei,WANG Haijian,et al.Study on identification of coal-rock interface based on acoustic emission signal[J].Journal of Electronic Measurement and Instrumention,2017,31(2):230-237.
[15]杨盼,王琪,马丹丹.截齿镍基钴包碳化钨激光熔覆涂层磨损性能研究[J].矿冶工程,2015,35(1):116-119.YANG Pan,WANG Qi,MA Dandan.Study on wear-resisting property of laser-claded Ni-based WC-Co coatings on cutting Teeth[J].Mining and Metallurgrical Engineering,2015,35(1):116-119.
[16]赵丽娟,田震,郭辰光.矿用截齿失效形式及对策[J].金属热处理,2015,40(6):194-198.ZHAO Lijuan,TIAN Zhen,GUO Chenguang.The form and countermeasure of the cutting tooth failure in mining[J].Metal Heat Treatment,2015,40(6):194-198.
[17]LI Huigui.Mechanical properties and acoustic characteristics of thick hard roof sandstone in Shendong coal field[J].International Journal of Coal Science&Technology,2017,4(2):147-158.
[2]WANG Jinhua.Development and prospect on fully mechanized mining in Chinese coal mines[J].International Journal of Coal Science Technology,2014,1(3):153-260.
[3]NOUARI M,TINTING A.Wear characteristics and performance of rnultilayer CVD-coated alloyed carbide tool in dry end milling of titanium alloy[J].Surface and Coatings Technology,2006,200(18-19):5663-5676.
[4]KIOUS M,OUAHABI A.Detection process approach of tool wear in high speed milling[J].Measurement,2010,43(10):1439-1446.
[5]李晓豁,何洋,焦丽,等.基于参数识别的截割头纵向随机振动响应优化[J].中国机械工程,2015,26(6):818-823.LI Xiaohuo,HE Yang,JIAO Li,et al.Optimization of longtidinal random vibration response of cutting head based on parameter identification[J].China Mechanical Engineering,2015,26(6):818-823.
[6]王雁翔,杨道龙,王凌翔.镐形截齿截割磨损研究[J].煤矿机械,2014,35(2):47-49.WANG Yanxiang,YANG Daolong,WANG Lingxiang.Study on wear performance of pick cutting[J].Coal Mine Machinery,2014,35(2):47-49.
[7]张倩倩.掘进机截齿截割硬岩的试验与数值模拟研究[D].太原:太原理工大学,2016.ZHANG Qianqian.Expermental and numerical research on rock cutting by road header picks[D].Taiyuan:Taiyuan University of Technology,2016.
[8]张倩倩,韩振南,张梦奇,等.冲击载荷作用下锥形截齿磨损的试验和数值模拟研究[J].振动与冲击,2016,35(13):58-65.ZHANG Qianqian,HAN Zhennan,ZHANG Mengqi,et al.Tests and simulation for wear of conical pick under impact load[J].Journal of Vibration and Shock,2016,35(13):58-65.
[9]张建广.EBZ260W型掘进机截割人工岩壁的截齿磨损研究[J].矿山机械,2014,42(9):11-14.ZHANG Jianguang.Study on pick absrasion during artificial rock cut by EBZ260W roadheader[J].Mining and Processing Equipment,2014,42(9):11-14.
[10]李荣德,李建楠,王淑锋,等.矿用截齿截割过程的数值模拟及磨损机理研究[J].煤矿机械,2016,37(6):57-59.LI Rongde,LI Jiannan,WANG Shufeng,et al.Study on numerical simulation and wear mechanism of cutting pick[J].Coal Mine Machinery,2016,37(6):57-59.
[11]张强,王海舰,李立莹,等.基于多传感特征信息融合的采煤机截齿失效诊断[J].中国机械工程,2016,27(17):2334-2340.ZHANG Qiang,WANG Haijian,LI Liying,et al.Online monitoring of shearer’s pick wear based on ANFIS fuzzy information fusion[J].China Mechanical Engineering,2016,27(17):2334-2340.
[12]张强,王海舰,李立莹,等.基于自适应神经-模糊推理系统模糊信息融合的采煤机截齿磨损在线监测[J].中国机械工程,2016,27(19):2607-2614.ZHANG Qiang,WANG Haijian,LI Liying,et al.Online monitoring of shearer’s pick wear based on ANFIS fuzzy information fusion[J].China Mechanical Engineering,2016,27(19):2607-2614.
[13]张强,刘志恒,王海舰,等.基于BP神经网络的截齿磨损程度在线监测[J].中国机械工程,2017,28(9):1062-1068.ZHANG Qiang,LIU Zhiheng,WANG Haijian,et al.On-line monitoring of pick’s wear degrees based on BP neural network[J].China Mechanical Engineering,2017,28(9):1062-1068.
[14]张强,张石磊,王海舰,等.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.ZHANG Qiang,ZHANG Shilei,WANG Haijian,et al.Study on identification of coal-rock interface based on acoustic emission signal[J].Journal of Electronic Measurement and Instrumention,2017,31(2):230-237.
[15]杨盼,王琪,马丹丹.截齿镍基钴包碳化钨激光熔覆涂层磨损性能研究[J].矿冶工程,2015,35(1):116-119.YANG Pan,WANG Qi,MA Dandan.Study on wear-resisting property of laser-claded Ni-based WC-Co coatings on cutting Teeth[J].Mining and Metallurgrical Engineering,2015,35(1):116-119.
[16]赵丽娟,田震,郭辰光.矿用截齿失效形式及对策[J].金属热处理,2015,40(6):194-198.ZHAO Lijuan,TIAN Zhen,GUO Chenguang.The form and countermeasure of the cutting tooth failure in mining[J].Metal Heat Treatment,2015,40(6):194-198.
[17]LI Huigui.Mechanical properties and acoustic characteristics of thick hard roof sandstone in Shendong coal field[J].International Journal of Coal Science&Technology,2017,4(2):147-158.
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