电气技术Issue(7)：1-1,2-3,14,4.
基于小波变换的煤与瓦斯突出预测去噪技术的研究
Study on Filtering Noise of Coal and Gas Outburst Prediction Based on Wavelet Transform
杨莉媛 1崔建明1
作者信息
- 1. 太原理工大学电气与动力工程学院,太原030024
- 折叠
摘要
Abstract
The coal and gas outburst is one of the worst natural disasters in the coal mining industry. The acoustic emission signals in coal can reflect the forces of the coal body, and we can monitor the acoustic emission signal to achieve the non-contact of coal and gas outburst prediction In this paper, wavelet transform is used in the extraction of coal and gas outburst effectively signal. Using the frequency characteristics of the wavelet transform, acoustic emission signal collected can decompose in a different scale, so that it can filter out the noise very well. The effectiveness of this method has been verified in Matlab simulation software.关键词
煤与瓦斯突出/声发射/小波变换/噪声Key words
coal and gas outburst/acoustic emission: wavelet transform/noise分类
矿业与冶金引用本文复制引用
杨莉媛,崔建明..基于小波变换的煤与瓦斯突出预测去噪技术的研究[J].电气技术,2012,(7):1-1,2-3,14,4.
