摘要
在小波分析和模糊聚类分析的基础上,结合虚拟仪器技术,研发了齿轮-滚动轴承智能故障诊断测试系统,该系统不仅能对齿轮-滚动轴承传动系统进行故障诊断,而且还能对齿轮、轴承进行质量分级,具有较好的应用价值。
According to wavelet analysis and fuzzy clustering method,an intelligent fault diagnostic system for gears and roller bearings is developed based on the virtual instrument technology. This system is capable of diagnosing the fault types. It also can classify the quality level of gears and roller bearings. This system is proved to be valid.
出处
《机械传动》
CSCD
北大核心
2008年第6期47-50,共4页
Journal of Mechanical Transmission
关键词
齿轮-滚动轴承
故障诊断
小波分析
模糊聚类
Gears-roller bearings Fault diagnosis Wavelet analysis Fuzzy clustering