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Comparison research of processing methods for vibration signals of cable stayed section on Wuhan Tianxingzhou bridge

机译:武汉天兴洲大桥斜拉桥振动信号处理方法的比较研究

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摘要

A typical application of FBG(Fiber Bragg Grating) sensors system is realized on the bridge, and vibration signal of points on the bridge is acquired by them, and data is processed by wavelet analysis method, EMD(Experience Mode Decomposing) method, and EEMD(Ensemble Empirical Mode Decomposition) method to lower its noise component of the original signal and show its own dynamic characters. Power spectrum, SNR and curve diagram show that EEMD is best among them for signal denoising. Not only stationary character of the signal is kept, but also it has the highest SNR.
机译:在桥上实现了FBG(光纤布拉格光栅)传感器系统的典型应用,并通过它们获取桥上点的振动信号,并通过小波分析法,EMD(经验模式分解)法和EEMD处理数据。 (集成经验模态分解)方法可以降低其在原始信号中的噪声分量并显示其自身的动态特性。功率谱,SNR和曲线图表明,EEMD在信号降噪中是最好的。不仅保持信号的平稳特性,而且具有最高的SNR。

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