基于FastPW和CNC降噪的液压泵振动信号预处理方法

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振动与冲击 ›› 2014, Vol. 33 ›› Issue (24) : 144-149.

论文

基于FastPW和CNC降噪的液压泵振动信号预处理方法

王余奎，李洪儒，叶鹏

作者信息 +

Preprocessing method of hydraulic pump vibration signal based on FastPW and CNC de-noising

WANG Yu-kui, LI Hong-ru, YE Peng

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摘要

针对离散余弦变换(Discrete Cosine Transform, DCT)阈值降噪法存在的问题，提出了一种自适应的余弦相邻系数(Cosine Neighboring Coefficients, CNC)降噪法，仿真信号分析结果表明CNC降噪法具有更好的降噪性能。将该方法与振动信号快速预白化(Fast Pre-Whitening, FastPW)技术相结合形成了一种液压泵振动信号预处理新方法：首先采用FastPW算法对液压泵振动信号预白化，去除信号中的谐波分量，得到仅包含冲击分量和白噪声的预白化信号；然后采用CNC降噪法对预白化信号进行自适应降噪。实测信号分析结果表明提出的方法能够很好地消除液压泵振动信号中的谐波分量和噪声成分，且能有效保留信号中的故障分量。

Abstract

Aiming at the existing problem of discrete cosine transform (DCT) threshold de-noising method, an adaptive de-noising method named cosine neighboring coefficients (CNC) is put forward, and the results which are gotten by performing CNC de-noising to simulation signal demonstrated that the proposed method has more excellent performance. A novel method for the preprocessing of hydraulic pump vibration signal is proposed based on the combination of fast pre-whitening (FastPW) and cosine neighboring coefficients (CNC) de-noising method. Firstly, the pre-whitening (PW) signal which only includes shocking components and noise is gained by performing FastPW to the original signal, and the harmonic component of the original signal is removed. And then the de-noising processing is preformed to PW signal with CNC de-noising method. The analysis results of the practical signal testified that the proposed method can remove the harmonic component and noise preferably and reserve the fault component in the signal more excellently.

导出引用

王余奎;李洪儒;叶鹏. 基于FastPW和CNC降噪的液压泵振动信号预处理方法[J]. 振动与冲击, 2014, 33(24): 144-149

WANG Yu-kui;LI Hong-ru;YE Peng. Preprocessing method of hydraulic pump vibration signal based on FastPW and CNC de-noising[J]. Journal of Vibration and Shock, 2014, 33(24): 144-149