基于小波包和支持向量机的液压泵故障诊断  

Fault Diagnosis for Hydraulic Pump Based on Wavelet Packet Analysis and Support Vector Machine

作　　者：毋文峰[1] 苏勋家[1] 陈小虎[1] 王旭平[1] 

机构地区：[1]第二炮兵工程学院501室,陕西西安710025

出　　处：《机床与液压》2011年第9期146-147,154,共3页Machine Tool & Hydraulics

基　　金：总装备部预研重点基金项目(9140A27020309JB4701)

摘　　要：研究基于小波包频带能量的故障诊断方法及其在齿轮泵故障诊断中的应用。论述齿轮泵的典型故障设置及其数据采集,针对齿轮泵实验数据,研究基于小波包和支持向量机的齿轮泵故障诊断方法。实验结果表明:基于小波包-支持向量机的故障诊断方法是有效的,而且可以满足在线实时状态监测与故障诊断的要求。The fault diagnosis methods based on wavelet packet frequency energies and its application to gear pump fault diagnosis were expounded.Typical faults setting of gear pump and data acquisition were introduced.On the base of experimental data,a fault diagnosis method based on wavelet packet and support vector machine was proposed for gear pump.The experimental results indicate this method is effective and meets the demands of online condition monitoring and fault diagnosis.

关 键 词：小波包分析 支持向量机 齿轮泵 故障诊断 

分 类 号：TH165.3[机械工程—机械制造及自动化]