摘要
分析了某矿岩体声发射噪声信号,通过傅立叶变换的谱分析,找出其噪声谱特征,建立噪声谱特征数据库;根据现场采集的岩体声发射信号与环境噪声信号,有特征谱数据用小波变换的方法消除噪声,显示真正的岩音信号。结果表明这种技术能够有效地提高数据的可靠性和数据分析的精度,对预测预报岩体受损变形过程的发展趋势和规律有很大的现实意义。
The thesis analyses some mineral rock AE noise signals,and finds out the noise spectral characteristics and sets up the concerned database on the basis of Fourier analysis; According to the on-site gathering of the rock AE signals and the environment noise signals, it uses the characterized spectral data to eliminate noises in the way of wavelet transform, and thus to show the real rock acoustic signals. This technique turns out to effectively improve data＇s reliability and data analysis accuracy, and means much for predicting the developing trend and laws of rock crack.
出处
《洛阳理工学院学报（自然科学版）》
2009年第4期27-30,共4页
Journal of Luoyang Institute of Science and Technology：Natural Science Edition
关键词
声发射
噪声
识别
小波变换
acoustic emission（AE）
noise
recognition
wavelet transform
