Bearing Fault Diagnosis Based on Improved Hilbert-Huang Transform

被引：0

作者：

Ma, Fenglei ^{[1
]}

Chen, Xiaoshuai ^{[1
]}

Du, Jilong ^{[1
]}

机构：

[1] Changchun Univ Technol, Changchun 130012, Peoples R China

来源：

PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON CIVIL ENGINEERING AND TRANSPORTATION 2015 | 2016年 / 30卷

关键词：

Hilbert-Huang transform(HHT); bearing; fault diagnosis;

D O I：

暂无

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

For empirical mode decomposition (EMD) method had endpoint effect and modal aliasing problems, in this paper an improved Hilbert-Huang transform (HHT) based on combination of symmetrical-mirror continuation and correlation coefficient method was put forward. This method can eliminate the modal aliasing and false intrinsic mode function (IMF) problems effectively. Through correction parameters threshold denoising method and the method of selecting sensitive IMF, the Hilbert spectrum can be more accurate for fault diagnosis. The experiment research confirmed that this method can diagnose the bearing fault signal reasons effectively. A new and effective method was proved for bearing fault diagnosis.

引用

页码：551 / 555

页数：5

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