Extraction of Pipeline Vibration Feature Information Based on the Combination of EWT and SVD

Yina Zhang, Jinlin Huang, Yong Wang, Ziyu Li, Jianwei Zhang
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Abstract

Due to the problem of endpoint effect in the decomposition of hydraulic structure vibration data by EMD (empirical mode decomposition) method and the resultant mode confusion, a method based on EWT (empirical wavelet transform) combined with SVD (singular value decomposition) of hydraulic structure vibration signal noise reduction method. It is verified through engineering examples that the combination of EWT and SVD can effectively filter out high-frequency vibration noise and low-frequency water flow noise, and has superiority in extracting the characteristic information of hydraulic structure vibration signal.
基于小波变换和奇异值分解相结合的管道振动特征信息提取
针对EMD(经验模态分解)方法分解水工结构振动数据时存在端点效应和由此产生的模态混淆问题,提出了一种基于EWT(经验小波变换)和SVD(奇异值分解)的水工结构振动信号降噪方法。工程实例验证了小波变换与奇异值分解相结合能够有效滤除高频振动噪声和低频水流噪声,在提取水工结构振动信号特征信息方面具有优越性。
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