The Floating Crane Gear Fault Classification Model Based on Weighted Kernel Least Squares Support Vector Machines

2012 ◽  
pp. 363-368
Author(s):  
BinHuang Lu ◽  
YongQi Chen ◽  
QingE Dai
Keyword(s):  
Support Vector Machines ◽  
Least Squares ◽  
Classification Model ◽  
Fault Classification ◽  
Support Vector ◽  
Model Based ◽  
Vector Machines ◽  
Gear Fault ◽  
Weighted Kernel ◽  
Floating Crane

Gear Fault Diagnosis Based on Wavelet-Support Vector Machines

2010 ◽  
Vol 33 ◽  
pp. 450-453 ◽  
Author(s):  
Jie Zhao ◽  
Chun Hua Li
Keyword(s):  
Fault Diagnosis ◽  
Support Vector Machines ◽  
Classification Model ◽  
Fault Classification ◽  
Small Samples ◽  
Support Vector ◽  
Noise Interference ◽  
Vector Machines ◽  
Gear Fault ◽  
Vibration Noise

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.

An accurate traffic classification model based on support vector machines

2017 ◽  
Vol 27 (1) ◽  
pp. e1962 ◽  
Author(s):  
Jie Cao ◽  
Zhiyi Fang ◽  
Guannan Qu ◽  
Hongyu Sun ◽  
Dan Zhang
Keyword(s):  
Support Vector Machines ◽  
Classification Model ◽  
Support Vector ◽  
Traffic Classification ◽  
Model Based ◽  
Vector Machines

Tool wear model based on least squares support vector machines and Kalman filter

2014 ◽  
Vol 8 (1-2) ◽  
pp. 101-109 ◽  
Author(s):  
Haiyan Zhang ◽  
Chen Zhang ◽  
Jilin Zhang ◽  
Laishui Zhou
Keyword(s):  
Kalman Filter ◽  
Support Vector Machines ◽  
Tool Wear ◽  
Least Squares ◽  
Support Vector ◽  
Wear Model ◽  
Model Based ◽  
Vector Machines
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