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小波包变换在煤与瓦斯突出预测中的应用
引用本文:于洪仕,付兴武.小波包变换在煤与瓦斯突出预测中的应用[J].黑龙江科技学院学报,2006,16(5):279-281.
作者姓名:于洪仕  付兴武
作者单位:辽宁工程技术大学,电气工程系,辽宁,阜新,123000
摘    要:针对目前滤噪技术不能很好地使声发射监测得以准确预报的情况,进行了基于小波包变换的去噪研究.该研究利用信号的小波包分析、计算和最优小波包基选取的方法,通过计算机数值计算,模拟了强噪声下声发射信号检测,并通过Sym8小波包与小波变换去噪的比较,证明前者优于后者.用小波包变换进行消噪处理,噪声消除彻底,提高了预警准确性.

关 键 词:小波包变换  小波变换  声发射  噪声  煤与瓦斯突出
文章编号:1671-0118(2006)05-0279-03
修稿时间:2006年6月30日

Using of wavelet analysis in coal and gas outburst predication
YU Hongshi,FU Xingwu.Using of wavelet analysis in coal and gas outburst predication[J].Journal of Heilongjiang Institute of Science and Technology,2006,16(5):279-281.
Authors:YU Hongshi  FU Xingwu
Abstract:The conventional AE transmitting technology fails to offer effective prediction because of present noise processing technology.The paper provides noise processing method of wavelet packet transform.AE signal in high noise background based on signal analysis of wavelet packet analysis,calculation and the choice of wavelet best basis is simulated through numerical calculation in computer,and Sym8 wavelet packet transform proves better than the wavelet transform in AE signal detection.The conclusion is that the use of wavelet packet transform gives a better noise processing and a more precise prediction.
Keywords:wavelet packet transform  wavelet transform  AE  noising  coal and gas outburst
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