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基于支持向量机和镜像延拓的Hilbert-Huang变换及其在滚动轴承故障诊断中的应用
引用本文:王凯,安钢,樊新海,胡易平. 基于支持向量机和镜像延拓的Hilbert-Huang变换及其在滚动轴承故障诊断中的应用[J]. 轴承, 2009, 0(12)
作者姓名:王凯  安钢  樊新海  胡易平
作者单位:装甲兵工程学院,机械工程系,北京,100072
基金项目:国防科技重点实验室基金项目 
摘    要:采用镜像延拓处理端点效应的Hilbert-Huang变换要求将镜面放置在局部极值点处,对于长数据序列,可以先截断一部分数据,再将镜面放置在局部极值点处;但这种方法对于短数据序列显然不妥.鉴于此,利用支持向量机在小样本预测上的优势,将其与镜像延拓的Hilbert-Huang变换相结合,有效地抑制了端点效应,并通过仿真试验进行了验证.

关 键 词:滚动轴承  故障诊断  Hilbert-Huang变换  镜像延拓  支持向量机

HHT Based on SVM and Mirror Extension and Its Application in Fault Diagnosis of Rolling Bearings
WANG Kai,AN Gang,FAN Xin-hai,HU Yi-ping. HHT Based on SVM and Mirror Extension and Its Application in Fault Diagnosis of Rolling Bearings[J]. Bearing, 2009, 0(12)
Authors:WANG Kai  AN Gang  FAN Xin-hai  HU Yi-ping
Affiliation:WANG Kai,AN Gang,FAN Xin-hai,HU Yi-ping(The Mechanical Engineering Department,the Academy of Armored Forces Engineering,Beijing 100072,China)
Abstract:The mirror surface is needed to put at the local extreme point in the Hilbert-Huang Transform(HHT) based on mirror extension to deal with end effect.A part of data can be cut off for long data sequence,then mirror surface is put at the local extreme point,but this method is inapplicable to short data sequence.Therefore,take advantage of Support Vector Machines(SVM) in the prediction of small sample and combined it with HHT based on mirror extension,end effect is controlled effectively and is verified by sim...
Keywords:rolling bearing  fault diagnosis  Hilbert-Huang Transform  mirror extension  Support Vector Machines  
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