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基于LabVIEW的液压系统故障信号处理方法
引用本文:柴凯,张梅军,黄杰,陈灏.基于LabVIEW的液压系统故障信号处理方法[J].机床与液压,2015,43(1):189-193.
作者姓名:柴凯  张梅军  黄杰  陈灏
作者单位:解放军理工大学野战工程学院,江苏南京,210007
摘    要:应用Lab VIEW结合Matlab软件设计了液压系统故障信号分析系统,从数据采集、预处理到分别通过时、频域信号处理方法有时域分析、相关性分析、频谱分析、倒频谱分析等;时频联合信号处理方法有短时傅立叶变换(STFT)、小波变换(WT)、经验模态分解(EMD)、集合经验模态分解(EEMD)等对液压系统正常、冲击、堵塞以及气穴等不同类型信号进行离线研究和分析。运行结果表明:该系统能对信号故障特征进行提取,以便快速准确地查明和判别故障。

关 键 词:LabVIEW  频谱分析  小波分析  EMD  EEMD  液压系统  故障诊断

Hydraulic System Fault Signal Processing Method Based on LabVIEW
CHAI Kai,ZHANG Meijun,HUANG Jie,CHEN Hao.Hydraulic System Fault Signal Processing Method Based on LabVIEW[J].Machine Tool & Hydraulics,2015,43(1):189-193.
Authors:CHAI Kai  ZHANG Meijun  HUANG Jie  CHEN Hao
Abstract:The combination of LabVIEW and Matlab software was used to design the hydraulic system fault signal analysis system. From data acquisition, preprocessing to through the time and frequency domain signal processing method: time domain analysis, correlation analysis, spectrum analysis, cepstrum analysis etc.; time and frequency combined signal processing method: short time Fourier Transformation (STFT), wavelet decomposition (WT), EMD, EEMD, the hydraulic system normal, impact, and cavitation and blocking signals of different types were researched and analyzed offline. The computation result shows that the system can extract signal fault feature, so that quickly and accurately identify and determine fault.
Keywords:LabVIEW  Spectral analysis  Wavelet transformation  EMD  EEMD  Hydraulic system  Fault diagnosis
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