A Method of Feature Extraction in Weak Current Signals

doi:10.7652/xjtuxb201309014

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A Method of Feature Extraction in Weak Current Signals

更新时间：2025-07-09

- A Method of Feature Extraction in Weak Current Signals
- Vol. 47, Issue 9, Pages: 83-87(2013)
- 作者机构：
  
  西安交通大学机械工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201309014
  CLC： TP206
- Online First：10 September 2013，
  
  Published：2013
- 稿件说明：
移动端阅览
A Method of Feature Extraction in Weak Current Signals[J]. 2013, 47(9): 83-87.
DOI：

A Method of Feature Extraction in Weak Current Signals[J]. 2013, 47(9): 83-87. DOI： 10.7652/xjtuxb201309014.

摘要

针对数控机床主轴电流分析中微弱电流信号被噪声淹没的问题

提出了一种将调制随机共振和D-J阈值噪声估计技术用于电流弱信号的特征提取方法。利用调制随机共振技术获得了微弱电流信号的特征频率

在频域上采用D-J阈值收缩方法对所测得的电流信号进行噪声估计

从中分离出有用信号

并根据随机共振原理对该有用信号进行了幅值估计。仿真和实验结果表明

该方法可以对数控机床主轴电流信号中的微弱电流特征信号进行频率识别和幅值估计

克服了传统电机电流分析方法无法识别微弱电流信号的缺点

能够准确地提取出微弱电流信号中的特征频率

可对微弱特征信号进行比较准确的幅值估计

因此具有较强的工程实用价值。

Abstract

To extract weak current signal features in the spindle current of machine tools

which are often buried in noises

a signal processing method with modulated stochastic resonance and D-J threshold theory is proposed. Modulated stochastic resonance is adopted to amplify the features of weak current signals

and then D-J threshold theory is chosen to make noise estimation for extracting the useful signals. The amplitude is estimated by the stochastic resonance. The simulated and experimental results show that this method enables to accurately identify the weak feature frequencies and estimate the amplitudes of weak current signals properly.

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references

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