振幅
信号(编程语言)
小波
声学
数学
瞬态(计算机编程)
相关性
物理
数学分析
光学
计算机科学
几何学
操作系统
人工智能
程序设计语言
作者
Huibo Meng,Yu Yan-fang,Liu Zhi-qiang,Jian Wu
标识
DOI:10.1109/iccet.2010.5486109
摘要
A investigation of delay time correlation characteristics of transient tube-wall pressure time series signals in a Kenics static mixer was undertaken based on wavelet transform multi-scales decomposition. The signal of pressure fluctuation are firstly decomposed into signals of different frequency bands including 0 ∼ 18.125Hz, 18.125 ∼ 36.25Hz, 36.25 ∼ 72.5Hz, 72.5 ∼ 125Hz, 125 ∼ 250Hz, 250 ∼ 500Hz, 500 ∼ 1000Hz and more than 1000Hz. The linear correlation characteristics of signal of different frequency bands are evaluated with auto-correlation function. The experimental results indicate that the signals of more than 1000 in frequency have no linear correlation for the time series signal. Under the lower dyadic scales ,j≪7, the detail signals especially d1 and d2 have larger fluctuation amplitudes which achieve 170∼180 Pa, but the amplitudes decrease as the dyadic scales increase. Under the higher dyadic scales ,j=8, the detail signals have smaller fluctuation amplitudes which achieve 20∼30 Pa.
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