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基于小波分析的瓦斯突出预测信号提取技术研究
Study on Abstracting Signal of Coal and Gas Outburst Prediction Based on Wavelet Analysis
【摘要】 煤与瓦斯突出前有征兆显现——煤体声发射,然而实际采样到的煤体声发射信号往往含有许多噪声,严重影响了预测可靠性。利用小波变换的多分辨分析特性,对声发射信号进行提取,较好地滤除了噪声干扰,提高了预测的准确性。
【Abstract】 There is a sign before coal and gas outburst-acoustic emission,but a lot of noise included in acoustic emission affects reliability of prediction severely.The wavelet multi-resolution analysis is applied to distill acoustic emission and it can filters noise very well and improve veracity of prediction.
【关键词】 煤与瓦斯突出;
声发射;
小波分析;
噪声;
【Key words】 coal and gas outburst; acoustic emission; wavelet analysis; noise;
【Key words】 coal and gas outburst; acoustic emission; wavelet analysis; noise;
- 【文献出处】 中州煤炭 ,Zhongzhou Coal , 编辑部邮箱 ,2008年01期
- 【分类号】TD713.2
- 【被引频次】10
- 【下载频次】205