摘要
在介绍滚动轴承的故障机理的前提下,采用振动信号分析法对滚动轴承状态监测和故障诊断进行研究。通过LabVIEW编程,应用EMD分解和共振解调相结合的方法,对振动信号进行分析,获取有用故障特征,进而确定故障类型。
This paper introduces the fault mechanism of the rolling bearing , uses the vibration signal analy-sis method to research rolling bearing condition monitoring and fault diagnosis .Through the LabVIEW program-ming , combining the EMD decomposition and resonance demodulation , the vibration signal is analyzed , and use-ful fault features are obtained to confirm the fault types .
出处
《石家庄铁道大学学报（自然科学版）》
2014年第3期59-63,共5页
Journal of Shijiazhuang Tiedao University(Natural Science Edition)
基金
河北省教育厅自然科学重点项目(zh2011215)
关键词
滚动轴承
故障诊断
共振解调
EMD
rolling bearing
fault diagnosis
EMD
resonance demodulation
