基于改进的希尔伯特振动分解的机械故障诊断方法研究

唐贵基;庞彬

振动与冲击 ›› 2015, Vol. 34 ›› Issue (3) : 167-171.

PDF(2458 KB)
PDF(2458 KB)
振动与冲击 ›› 2015, Vol. 34 ›› Issue (3) : 167-171.
论文

基于改进的希尔伯特振动分解的机械故障诊断方法研究

  • 唐贵基,庞彬
作者信息 +

Research for a mechanical fault diagnosis method based on improved Hilbert vibration decomposition

  • Tang Gui-ji , Pang Bin
Author information +
文章历史 +

摘要

针对多分量机械故障振动信号的特征提取问题,介绍了一种基于希尔伯特振动分解(HVD)的时频分析方法。该方法首先利用Hilbert变换得到原始振动信号的解析信号,然后通过对解析信号的瞬时频率低通滤波获得信号中幅值最大分量的瞬时频率,同时经同步检测获得相应的瞬时幅值和初相位,最后经过迭代运算自适应地检测出原信号各分量的时频信息。针对HVD方法的边界效应问题,提出一种基于相关系数准则的波形匹配边界延拓法对其进行改进。通过两组仿真信号分析验证了HVD方法对多分量非平稳信号的分解能力,同时表明改进的HVD方法很好地抑制了边界效应。给出转子系统油膜涡动故障诊断实例,验证了该方法的工程实用性。

Abstract

A time-frequently approach based on Hilbert vibration decomposition method is introduced in order to extract fault features of multi-component mechanical fault vibration signals accurately. Firstly, the analysis signal of original vibration signal was obtained through Hilbert transform. Secondly, the non-stationary frequency of the largest component was achieved as a low-pass filter of the instantaneous frequency, the corresponding envelope and initial phase was also estimated according to the synchronous demodulation, then the time-frequency information of each component of the initial signal would be detected by each iteration step. Aiming at overcoming the end effects of HVD, a wave characteristics matching extending method based on correlation coefficient criteria is proposed to improve HVD. The analysis of two simulated signals showed a good capacity of HVD in decomposing the non-stationary multi-component signals, and the results inflected that the improved HVD inhibited the end effects. Finally, an oil whirl of rotor system fault diagnosis instance is given to validate the feasibility of this method.


关键词

希尔伯特振动分解 / 多分量信号 / 时频分析 / 波形匹配延拓 / 机械故障诊断

Key words

Hilbert vibration decomposition / multi-component signal / time-frequency analysis / wave matching extending / mechanical fault diagnosis

引用本文

导出引用
唐贵基;庞彬. 基于改进的希尔伯特振动分解的机械故障诊断方法研究[J]. 振动与冲击, 2015, 34(3): 167-171
Tang Gui-ji;Pang Bin. Research for a mechanical fault diagnosis method based on improved Hilbert vibration decomposition[J]. Journal of Vibration and Shock, 2015, 34(3): 167-171

PDF(2458 KB)

Accesses

Citation

Detail

段落导航
相关文章

/