基于补偿距离评估-小波核PCA的滚动轴承故障诊断

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振动与冲击 ›› 2013, Vol. 32 ›› Issue (18) : 87-90.

论文

基于补偿距离评估-小波核PCA的滚动轴承故障诊断

王宏超,陈进，董广明

作者信息 +

Fault diagnosis of rolling bearing based on compensation distance evaluation technique-wavelet kernel principal component analysis

WANG Hong-chao，CHEN Jin，DONG Guang-ming

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文章历史 +

摘要

提出基于补偿距离评估技术-小波核PCA的滚动轴承故障诊断方法。将补偿距离评估技术用于滚动轴承时、频域故障特征向量降维，将降维后故障特征向量作为小波核PCA的特征向量。将分类结果与未进行补偿距离评估技术降维直接进行小波核主元分析结果比较表明，前者分类效果紧致性及计算效率更高。为突出小波核主元分析方法优势，将其与常用RBF核函数主元分析方法比较表明，前者聚类效果紧致性更高。

Abstract

The paper proposes the fault diagnosis method for rolling bearing based on compensation distance evaluation technique (CDET)-wavelet kernel principal component analysis (WKPCA). Firstly, use the CDET for dimension reduction. Then the WKPCA is applied to dimension reduced fault feature vectors and better classification result is got. Compared with the classification result based on WPCA directly without dimension reduction using CDET firstly, the classification result of proposed method has the advantages of higher compactness and higher computational efficiency. Besides, the WKPCA has evident advantage over RBF kernel principal component analysis (RKPCA) through verification.

导出引用

王宏超;陈进;董广明. 基于补偿距离评估-小波核PCA的滚动轴承故障诊断[J]. 振动与冲击, 2013, 32(18): 87-90

WANG Hong-chao;CHEN Jin;DONG Guang-ming. Fault diagnosis of rolling bearing based on compensation distance evaluation technique-wavelet kernel principal component analysis[J]. Journal of Vibration and Shock, 2013, 32(18): 87-90