SVM and wavelet analysis method for hydraulic pump fault of rock drilling

被引：0

作者：

Liu Jian-hua ^{[1
]}

Ma Wen-bin ^{[1
]}

机构：

[1] Changshu Inst technol, Mech Engn, Changshu, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING | 2015年 / 124卷

关键词：

Rock drilling; SVM; Fault diagnosis; Wavelet analysis; REGRESSION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to looking for the fault of rock drilling hydraulic pump, the data of pressure and flow can be collected, from which wavelet analysis was used to find characters of the fault. So a new rock drilling pump fault diagnostic model by SVM was based on the energy value of the data deal with wavelet analysis. The results of regression show that the accuracy rate of SVM2 was higher than SVM1, and different core functions can get different regression accuracy from which RBF core function was better than others.

引用

页码：1855 / 1859

页数：5

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