基于VMD和形态学自互补Top-Hat变换的滚动轴承故障诊断方法  

Rolling Bearing Fault Diagnosis Method Based on VMD and Morphological Self Complementary Top- Hat Transform

作　　者：唐贵基[1] 赵晨 王菲 Tang Guiji,Zhao Chen, Wang Fei(Department of Mechanical Engineering, North China Electric Power University, Hebei, Baoding 071000, Chin)

机构地区：[1]华北电力大学机械工程系,河北保定071000

出　　处：《现代科学仪器》2017年第5期99-105,共7页Modern Scientific Instruments

摘　　要：针对滚动轴承故障类型判别问题，提出了基于VMD和形态学自互补Top—Hat变换的滚动轴承故障缺陷的诊断方法。首先，须提前设置VMD处理后所得IMF的数量的最优值（K），选用观察中心频率法；应用VMD后，再经峭度一相关准则选择最佳IMF分量；用形态学自互补Top—Hat变换处理最佳IMF，削弱干扰噪声，使故障特征加倍突出；最后，对最佳IMF实行包络解调，从而识别出故障类别。应用基于VMD和自互补Top-Hat变换的滚动轴承故障诊断方法对美国西储大学的滚动轴承故障实测信号进行处理研究，有效的提取出故障特征频率，表明此方法在实现滚动轴承故障诊断工作中具有一定的意义。Aiming at the fault feature of rolling bearings, a method of rolling bearing fault diagnosis was proposed based on VMD and self complementary Top-Hat transform. Firstly, the method of observing the center frequency was used to preset the best number of intrinsic mode function （K）; By applying VMD to decompose the fault signal, the optimal IMF component was selected by kurtosis and correlation criterion; The morphological self complementary Top-Hat transform was used to process the optimal IMF, which can weaken the interference noise and make the fault characteristics doubly prominent; Finally, the best IMF was implemented by envelope demodulation so as to identify the fault categories. By using the rolling bearing fault diagnosis method based on VMD and self complementary Top-Hat transform to analyze the fault signal of rolling bearing fault carried out at American West University, the fault characteristic frequency can be extracted effectively, which shows that this method has certain significance in the realization of rolling bearing fault diagnosis.

关 键 词：滚动轴承 变分模态分解 形态学自互补Top-Hat变换 

分 类 号：TH133.3[机械工程—机械制造及自动化] TH17