Fault Classification for Rotating Machinery Using Support Vector Machines with Optimal Features Corresponding to Each Fault Type

2010 ◽  
Vol 34 (11) ◽  
pp. 1681-1689 ◽  
Author(s):  
Yang-Seok Kim ◽  
Do-Hwan Lee ◽  
Seong-Kook Kim
Keyword(s):  
Support Vector Machines ◽  
Rotating Machinery ◽  
Fault Classification ◽  
Support Vector ◽  
Fault Type ◽  
Vector Machines

Coupling Pairwise Support Vector Machines for Fault Classification

2003 ◽  
Vol 36 (5) ◽  
pp. 657-662
Author(s):  
Sanna Pöyhönen ◽  
Antero Arkkio ◽  
Heikki Hyötyniemi
Keyword(s):  
Support Vector Machines ◽  
Fault Classification ◽  
Support Vector ◽  
Vector Machines

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.

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