An elimination method for transient high frequency oscillation signal

Zhang Jianhai, Li Lianzhou, Zou Jin, Yang Yue
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引用次数: 0

Abstract

In order to eliminate the transient high frequency oscillation signal which contained in the rocket vibration signal, and extract feature frequency, the paper proposed a novel method which bases on ensemble empirical mode decomposition and correlation coefficient test. First, the vibration signal is decomposed by Ensemble empirical mode decomposition (EEMD), and a series of intrinsic mode functions (IMF) are obtained. Then, the correlation coefficient between the IMF components and the original signal is calculated, and the effective IMF components are identified by the correlation coefficient significance test. In the end, Hilbert transform (HT) method is used to analyze the effective IMF components, and the purpose of extracting the feature frequency is achieved. The extract results of simulation signal and rocket vibration signal show that this method is feasible and effective.
一种瞬态高频振荡信号的消除方法
为了消除火箭振动信号中含有的瞬态高频振荡信号,提取特征频率,提出了一种基于集合经验模态分解和相关系数检验的特征频率提取方法。首先,利用集成经验模态分解(EEMD)对振动信号进行分解,得到一系列内禀模态函数(IMF);然后,计算IMF分量与原始信号的相关系数,通过相关系数显著性检验识别有效IMF分量。最后利用希尔伯特变换(Hilbert transform, HT)方法对有效IMF分量进行分析,达到提取特征频率的目的。仿真信号和火箭振动信号的提取结果表明了该方法的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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