基于DSS和FSWT的欠定信号识别方法研究

王元生;任兴民;邓旺群;杨永锋

振动与冲击 ›› 2014, Vol. 33 ›› Issue (21) : 80-84.

PDF(2162 KB)
PDF(2162 KB)
振动与冲击 ›› 2014, Vol. 33 ›› Issue (21) : 80-84.
论文

基于DSS和FSWT的欠定信号识别方法研究

  • 王元生1,任兴民1,邓旺群2,杨永锋1
作者信息 +

An Efficient Identification Research of Underdetermined Signals Based on Denoising Source Separation and Frequency Slice Wavelet Transform

  • Wang Yuansheng1,Ren Xingmin1,Deng Wangqun2,Yang Yongfeng1
Author information +
文章历史 +

摘要

针对旋转机械信号分析时产生的欠定信号盲源分离问题,建立了一种基于频率切片小波变换(Frequency Slice Wavelet Transform,FSWT)和去噪源分离(Denoising Source Separation,DSS)的欠定信号分析方法(FSWT-DSS),首先通过FSWT反变换重构出新的混合信号,有效解决欠定盲分离维数不足的问题,再应用DSS分离得到源信号,解决了欠定盲分离问题,同时解决了单独应用FSWT时进行时频分析的不足。算法仿真和应用实例验证了FSWT-DSS方法在实测故障信号分析中的有效性。

Abstract

Combining the features of Frequency Slice Wavelet Transform (FSWT) and denoising source separation (DSS), we propose an underdetermined DSS method based on FSWT. This method is used to deal with the blind source separation (BSS) problem of rotating machinery in the case of the number of observed mixtures being less than that of contributing sources. New mixed signals can be reconstructed through the FSWT method, which is effectively way to solve the problem of the dimension insufficient in underdetermined blind source separation. As the same time, the method can solve the problem of time-frequency analysis in FSWT. Applying FSWT-DSS method to the rotor fault detection, we have diagnosed the sudden unbalance phenomenon through the measured fault signals of the rotor. The simulation and experimental results, and their analysis show preliminarily that the FSWT-DSS method is indeed efficient in analyzing the fault diagnosis and it has an important engineering significance for fault detection of rotating machines.


关键词

频率切片小波变换 / 欠定盲源分离 / 诊断 / 信号处理 / 去噪源分离

Key words

Frequency slice wavelet transform (FSWT) / underdetermined blind source separation / diagnosis / signal processing / denoising source separation (DSS)

引用本文

导出引用
王元生;任兴民;邓旺群;杨永锋. 基于DSS和FSWT的欠定信号识别方法研究[J]. 振动与冲击, 2014, 33(21): 80-84
Wang Yuansheng;Ren Xingmin;Deng Wangqun;Yang Yongfeng. An Efficient Identification Research of Underdetermined Signals Based on Denoising Source Separation and Frequency Slice Wavelet Transform [J]. Journal of Vibration and Shock, 2014, 33(21): 80-84

PDF(2162 KB)

Accesses

Citation

Detail

段落导航
相关文章

/