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.
出处
《机床与液压》
北大核心
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)
关键词
小波包分析
支持向量机
齿轮泵
故障诊断
Wavelet packet analysis
Support vector machine
Gear pump
Fault diagnosis