Gear Fault Diagnosis Based on Wavelet-Support Vector Machines

被引：0
|
作者：
Zhao Jie [1 ]
Li Chunhua [1 ]
机构：
[1] Heilongjiang Inst Sci & Technol, Coll Elect & Informat Engn, Harbin, Peoples R China
来源：
ADVANCES IN FUNCTIONAL MANUFACTURING TECHNOLOGIES | 2010年 / 33卷
关键词：
Fault diagnosis; Wavelet; Support Vector Machines; BP neural network;
D O I：
10.4028/www.scientific.net/AMM.33.450
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
According to the characteristics of gear vibration noise large and fault diagnosis complex, the paper proposes the method of gear fault classification based on wavelet analysis - Support Vector Machines (SVM). This method effectively eliminates the noise interference of the gear signals. The classification model of gear diagnosis applicable to small samples is established and the result of simulation shows that the model can correctly realize gear fault.
引用
收藏
页码：450 / 453
页数：4
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