几种信号去噪方法在爆破振动信号中的应用分析-有色金属科学与工程.docVIP

几种信号去噪方法在爆破振动信号中的应用分析 刘连生，蒋家卫，周子荣廖敏敏 （江西理工大学资源与环境工程学院，江西，，341000 2.中南大学 西部矿业博士后科研工作站，西宁，810006） 关键词：爆破振动；信号去噪；小波阈值法；EMD；EEMD SEVERAL SIGNAL DENOISING METHOD IN THE APPLICATION?ANALYSIS?OF BLASTING VIBRATION SIGNALS LIU Liansheng12，JIANG Jiaei1，LIAO Minin1，ZHOU Ziong1 (1.Faculty of Resource and Environmental Engineering，Jiangxi University of Science and Technology，Ganzhou，Jiangxi 341000，China；2.Postdoctoral Scientific Research Workstation，) Abstract: The signal denoising principle of the wavelet threshold method、EMD and EEMD are mainly proposed in this paper.Moreover, three methods are used to denoise the blasting seismic signals under open air blasting mining . The comparative analysis of the oscillogram of denoising, signal-to-noise ratio and the root mean square error detection shows that the difference of denoising effect produced by the wavelet threshold denoising method for different signal source, the value of signal-to-noise ratio and the root mean square error have big volatility,.so the method is instability in the process of blasting vibration signal denoising. The signal denoising effect by EMD and EEMD methods are instability compared with the wavelet threshold method, which shows their adaptability in signal analysis. the EEMD can eliminate modal aliasing phenomenon generated by the decomposing signal through EMD. As a result, EEMD denoising method can achieve higher signal-to-noise ratio and smaller root mean square error compared with EMD denoising method, so the effect of denoising through EEMD is much better than EMD. But the EEMD also has the disadvantage of too long computation time. Key words: blast vibration; signal denoising; wavelet threshold method; EMD; EEMD 0 引 言 在爆破振动信号监测时，由于受到外部环境的干扰，监测结果不可避免的与实际信号存在误差，直接影响爆破振动信号分析的精度，为了使获取的爆破振动信号更准确的反映爆破效果，必须对原始信号的进行去噪。爆破地震波作为一种非平稳信号，去噪方法有很多，基于小波分析的去噪方法主要有小波分解与重构去噪[1]、小波阈值法去噪[2]、平移不变量小波去噪[3]、小波变换模极大值法去噪[4]等，以及经以上4种方法改进的小波分析去噪法[5-7]；其中文献[8]表明，小波分解与重构法仅仅适用于确定性噪声情况下，对于含有白噪声去噪效果非常差；小波阈值法去噪过程会出现伪吉布斯现象，但噪声