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一种基于层次熵和SVM的轴承故障诊断方法

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Indexed by:期刊论文

Date of Publication:2013-12-18

Journal:噪声与振动控制

Included Journals:ISTIC、CSCD

Volume:33

Issue:6

Page Number:163-167

ISSN No.:1006-1355

Key Words:振动与波;滚动轴承;层次熵;故障诊断;支持向量机

Abstract:针对样本熵在分析时间序列复杂度上的局限,在样本熵和多尺度熵的基础上提出一种新的基于层次熵(Hierarchical Entropy)的滚动轴承故障特征提取方法.首先用层次分解方法对实验数据进行分解,然后采用分解节点上的样本熵值作为特征向量,利用支持向量机(support vector machine,简称SVM)对故障进行识别.实验数据分析结果验证该方法的有效性.

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