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基于小波包变换和Fisher判别的滚动轴承故障诊断
Fault Diagnosis of Rolling Element Bearing based on Wavelet Packet transform and Fisher Discriminat Analysis
【摘要】 本文针对滚动轴承出现故障时产生的振动信号具有非平稳信号的特点,通过小波包变换提取故障信号的特征向量,采用Fisher判别分析对提取的特征向量进行故障分类。实验结果表明所提方法的有效性。
【Abstract】 In this paper,to deal with the non-stationary vibration signals generated by a fault in rolling bearing,the author present a method that extract some feature vectors from the fault signals by wavelet packet transform and apply Fisher Discriminant Analysis(FDA) to classify faults in rolling bearing.The experiments show that the effectiveness of the proposed approach..
【关键词】 滚动轴承;
故障诊断;
小波包变换;
Fisher判别分析;
【Key words】 rolling element bearing; fault diagnosis; wavelet packet transform; Fisher discriminant analysis;
【Key words】 rolling element bearing; fault diagnosis; wavelet packet transform; Fisher discriminant analysis;
- 【文献出处】 中国科技信息 ,China Science and Technology Information , 编辑部邮箱 ,2009年12期
- 【分类号】TH133.33
- 【下载频次】133