一种基于改进的傅立叶变换的弱故障信号特征提取新方法研究

苏永生 王永生 段向阳 张永祥

振动与冲击 ›› 2009, Vol. 28 ›› Issue (8) : 172-174.

PDF(1141 KB)
PDF(1141 KB)
振动与冲击 ›› 2009, Vol. 28 ›› Issue (8) : 172-174.
论文

一种基于改进的傅立叶变换的弱故障信号特征提取新方法研究

  • 苏永生 王永生 段向阳 张永祥
作者信息 +

A NEW EXTRACTION METHOD RESEARCH FOR WEAK FAULT SIGNAL BASED ON IMPROVED FOURIER TRANSFORM

  • su Yongsheng Wang Yongsheng Duan Xiangyang Zhang Yongxiang
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摘要

弱信号特征提取一直是故障诊断领域的难点,文章结合传统傅立叶变换,提出一种将时间序列变换为频域,再从频域转换到时域的复数域,并对该复数域进行幅值计算的方法对弱信号进行特征提取。通过仿真计算发现该方法突出了信号的局部特征信息,不仅能对夹杂在信号中的微弱冲击成分进行较好的再现,而且也能在强背景噪声环境下提取微弱故障信息。最后通过齿轮齿面接触型故障实验验证了该方法的有效性。

Abstract

It is difficult to pick up weak signal at the domain of fault diagnosis. A new weak signal feature extraction method based on Fourier Transform is presented. Firstly,time serial was switch to frequency domain;Secondly,the value of frequency was transformed into time complex number field; Moreover, the breadth of complex number was calculated. The arithmetic gives prominence to the part character information of signal by simulation. The weak impulsion in mixed-signal is given preferable reappearance and is also picked-up in powerful background noise. Lastly, the gear fault diagnosis experiment indicates that this algorithm is able to extract the weak fault feature signal.

关键词

弱信号 傅立叶变换 复数域 特征提取

Key words

weak signal / fourier transform / complex number domain / feature extraction

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苏永生 王永生 段向阳 张永祥. 一种基于改进的傅立叶变换的弱故障信号特征提取新方法研究[J]. 振动与冲击, 2009, 28(8): 172-174
su Yongsheng Wang Yongsheng Duan Xiangyang Zhang Yongxiang. A NEW EXTRACTION METHOD RESEARCH FOR WEAK FAULT SIGNAL BASED ON IMPROVED FOURIER TRANSFORM[J]. Journal of Vibration and Shock, 2009, 28(8): 172-174

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