改进的HHT算法在振动筛轴承故障诊断中的应用  

Application of Bearing Fault Diagnosis Based on Modified HHT

作　　者：徐元博[1] 杨宏才[1] 

机构地区：[1]西京学院,西安710123

出　　处：《煤矿机械》2015年第6期306-308,共3页Coal Mine Machinery

基　　金：西京学院科研基金项目(XJ130245;XJ130244)

摘　　要：基于经验模态分解的Hilbert-Huang变换(HHT)存在端点效应,从而影响分解效果。为了改善端点效应,提出了基于镜像延拓法的端点抑制方法。将改进的Hilbert-Huang变换首次应用到振动筛等振动机械的轴承故障特征提取中,通过实验表明该方法可以有效提取振动机械中故障信号的频谱特征,便于工程现场的应用。Ending effect is produced in the decomposition process of empirical mode decomposition （EMD） based on Hilbert-Huang Transform （HHT）,which can affect the decomposition. For reducing ending effect, mirror extending is introduced. The algorithm is used for fault diagnosis of vibrating screen＇s bearing for the first time, finally, and proved to be efficient and convenient for engineering field by means of vibration test.

关 键 词：镜像延拓法 振动筛 轴承故障诊断 希尔伯特黄变换 

分 类 号：TH133.3[机械工程—机械制造及自动化] TG806[金属学及工艺—公差测量技术]