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出 处:《矿山机械》2015年第12期139-144,共6页Mining & Processing Equipment
基 金:国家科技型中小企业创新基金(09C26213201011)
摘 要:针对强噪声背景下矿用金属板材拉伸件裂纹声发射特征信号不易提取的状况,首先对强噪声情况下单级奇异值分解降噪效果不明显现象进行分析,提出了将单级奇异值分解进行串联的逐级滤除噪声信号方法;采用信号仿真研究了SVD原理在信号降噪处理上应用的效果;并通过金属板材拉伸声发射信号SVD降噪处理试验,验证了多级奇异值分解串联SVD降噪法,滤除声发射信号中混杂噪声信号的有效性,为该方法的应用提供了理论依据。In view of the difficulty in extracting the acoustic emission characteristics signal from the crack of mine-used stretched metal plate at strong noise background, first, the paper analyzed poor denoising effects of single-stage singular value decomposition(SVD) at strong noise background, and proposed the method of single-stage SVD cascade for series filtering of noisy signal. Secondly, the application effects of SVD principle to signal denoising was studied by the way of signal simulation. Finally, the test for SVD denoising of acoustic emission signal from the crack of stretched metal plate verified the effectiveness of multi-stage SVD denoising the noisy signal in acoustic emission signal, which offered theoretical basis for the application of the method.
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