The multi-classification algorithm combining an improved binary tree with SVM and its application of fault diagnosis

2015 ◽  
Author(s):  
Panna Xue ◽  
Xuejin Gao ◽  
Pu Wang ◽  
Yongsheng Qi
Keyword(s):  
Fault Diagnosis ◽  
Binary Tree ◽  
Classification Algorithm ◽  
Multi Classification

Study on the Fault Diagnosis of Turbine Based on Support Vector Machine

2011 ◽  
Vol 55-57 ◽  
pp. 1803-1806 ◽  
Author(s):  
Bao Ling Liu
Keyword(s):  
Support Vector Machine ◽  
Fault Diagnosis ◽  
Classification Algorithm ◽  
Support Vector ◽  
Multi Classification

The paper presented the improved “one to many” classification algorithm in the basis of analyzing the shortcoming of the two traditional multi-classification algorithm, and established multi-fault classifier based on SVM to class the turbine typical faults. The results shows that the classifier may get satisfied effect.

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