基于广义相关系数自适应随机共振的液压泵振动信号预处理方法

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振动与冲击 ›› 2016, Vol. 35 ›› Issue (16) : 72-78.

论文

经哲郭利

作者信息 +

Hydraulic pump vibration signal pretreatment based on adaptive stochastic resonance with general correlation function

Jing Zhe Guo Li

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文章历史 +

摘要

针对液压泵故障振动信号信噪比低，故障特征难以提取的问题，对液压泵振动信号预处理方法进行研究。针对现有自适应随机共振优化算法及其目标函数存在的问题，将量子遗传算法(Quantum Genetic Algorithm，QGA)引入自适应随机共振中，提出一种改进的自适应随机共振的信号预处理方法。该方法以广义相关系数为目标函数，采用QGA算法对随机共振系统的结构参数进行优化，从而实现对信号的降噪预处理。仿真及实验结果表明，该方法能够有效提取强噪声背景下的液压泵振动信号频率特征，是液压泵故障特征提取及故障诊断中信号预处理的有效方法，可进一步发展至实际工程应用。

Abstract

Aiming at the problem that the signal-to-noise ratio(SNR) of vibration signal of hydraulic pump is low and that fault feature is hardly extracted, vibration signal preprocessing methods of hydraulic pump are studied. An improved adaptive stochastic resonance(ASR) pretreatment is proposed with quantum genetic algorithm(QGA) being introduced in ASR, because of the problems that ASR and its object function. The method proposed in this paper uses general correlation function(GCF) as the object function, and QGA is the optimization algorithm to optimize the parameters of stochastic resonance systems to realize the pretreatment of the vibration signal. Being applied in simulation data and engineering practice, this method could be extracted the frequency character of hydraulic pump vibration signal from strong noise background, and the pretreatment is effective in fault character extract and diagnosis of hydraulic pump vibration signal, and it could be developed to practical application for further.

导出引用

经哲郭利. 基于广义相关系数自适应随机共振的液压泵振动信号预处理方法[J]. 振动与冲击, 2016, 35(16): 72-78

Jing Zhe Guo Li. Hydraulic pump vibration signal pretreatment based on adaptive stochastic resonance with general correlation function[J]. Journal of Vibration and Shock, 2016, 35(16): 72-78

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