主元三阶谱分析在故障诊断中的应用  

Fault Diagnosis Approach Based on High-order Spectral and Principal Component Analysis

作　　者：窦唯[1] 刘占生[1] 王晓伟[1] 

机构地区：[1]哈尔滨工业大学,黑龙江哈尔滨150001

出　　处：《流体机械》2007年第2期46-50,17,共6页Fluid Machinery

摘　　要：研究了基于高阶谱(主要是三阶谱)和主元分析的故障特征提取方法。分析和实验表明,不同状态设备的三阶谱特征具有显著的差别,通过主元分析提取数字特征,为神经网络自动识别故障打下良好基础。通过往复泵排出阀不同状态———正常、弹簧失效、阀芯磨损特征的提取发现其特征存在较大差别。神经网络诊断结果表明所提出的方法具有良好的应用前景。The extracting fault features approach based on high-order spectral for pump valves of reciprocating pump was investigated, especially third order spectral analysis. Experiment show that there exist distinct differences of high-order spectral among different states： normal, discharge valve＇s spring failure and discharge valve＇s core abrasion. Furthermore, comparing with the traditional approach , the approach is more efficient, adaptive, which indicates the potential of high-order spectral techniques in machinery fault diagnosis.

关 键 词：往复泵 三阶谱 特征提取 故障诊断 

分 类 号：TH32[机械工程—机械制造及自动化]