Gear Fault Diagnosis Based on Angular Measurements and Support Vector Machines in Normal and Nonstationary Conditions

2015 ◽  
pp. 291-308 ◽  
Author(s):  
Semchedine Fedala ◽  
Didier Rémond ◽  
Rabah Zegadi ◽  
Ahmed Felkaoui
Keyword(s):  
Fault Diagnosis ◽  
Support Vector Machines ◽  
Support Vector ◽  
Vector Machines ◽  
Gear Fault ◽  
Angular Measurements ◽  
Gear Fault Diagnosis ◽  
Nonstationary Conditions

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.

Online batch fault diagnosis with Least Squares Support Vector Machines*

2012 ◽  
Vol 45 (20) ◽  
pp. 432-437 ◽  
Author(s):  
P. Van den Kerkhof ◽  
J. Vanlaer ◽  
G. Gins ◽  
J.F.M. Van Impe
Keyword(s):  
Fault Diagnosis ◽  
Support Vector Machines ◽  
Least Squares ◽  
Support Vector ◽  
Vector Machines
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