形态梯度和Hilbert包络在滚动轴承故障诊断中的应用  

Application of Morphological Gradient and Hilbert Envelope in the Fault Diagnosis for the Rolling Bearing

作　　者：黄炜[1] 何俊[1] 殷杰[1] 周素萍[1] 

机构地区：[1]汕头大学工学院,广东汕头515063

出　　处：《机械研究与应用》2014年第3期41-44,共4页Mechanical Research & Application

摘　　要：利用形态梯度能有效提取尖峰脉冲和抑制高斯白噪声的优点,结合Hilbert包络解调功能,分离出信号的低频信息,从而得到滚动轴承的故障特征频率。仿真和实例证明了该方法的有效性和实用性。Making full use of morphological gradient＇advantages,which can effectively extract the spikes and suppress gaussian white noise,and combining the Hilbert envelope demodulation function,the signal of low frequency information is separated,and the rolling bearing fault characteristic frequency is btained. The simulation and experiment show that the method is effective and practical.

关 键 词：形态梯度 HILBERT变换 故障 特征提取 

分 类 号：TH133.33[机械工程—机械制造及自动化]