基于独立分量分析的水轮机振动信号信噪分离与特征提取

发布时间：2018-02-26 12:08

本文关键词： 水轮机独立分量分析经验模态分解去噪特征提取　出处：《水电能源科学》2017年06期 　论文类型：期刊论文

【摘要】：针对水轮机导轴承工作环境复杂,测得信号掺杂噪声给信号处理带来困难的问题,提出一种基于独立分量分析的水轮机振动信号的信噪分离方法,并通过信号仿真验证了该方法分离两源混合信号(原始信号和噪声)的准确性。在此基础上引入经验模态分解算法对采集振动信号的噪声分离,经过仿真信号与实测信号分离的对比,验证了所提方法在水力机械故障诊断方面的工程应用价值。
[Abstract]:In view of the complex working environment of hydraulic turbine guide bearing and the difficulty of signal processing caused by the measured signal doping noise, a method of separation of signal and noise for turbine vibration signal based on independent component analysis is proposed. The accuracy of the method is verified by signal simulation. Based on this, empirical mode decomposition (EMD) algorithm is introduced to separate the noise of the collected vibration signal. The comparison between the simulated signal and the measured signal proves the engineering application value of the proposed method in hydraulic machinery fault diagnosis.
【作者单位】：河海大学能源与电气学院;
【分类号】：TV738

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