Power Transformer Fault Diagnosis Based on Integrated of Rough Set Theory and Evidence Theory

2013 ◽  
Author(s):  
Zhou Ai-Hua ◽  
Yao Yi ◽  
Song Hong ◽  
Zeng Xiao-Hui
Keyword(s):  
Fault Diagnosis ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Power Transformer ◽  
Evidence Theory ◽  
Transformer Fault

Application of Variable Precision Rough Set in Power Transformer Fault Diagnosis

2013 ◽  
Vol 373-375 ◽  
pp. 824-828
Author(s):  
Shu Chuan Gan ◽  
Ai Hua Zhou ◽  
Hui Guo ◽  
Ling Tang
Keyword(s):  
Fault Diagnosis ◽  
Rough Set ◽  
Reduction Method ◽  
Rough Set Theory ◽  
Power Transformer ◽  
Fault Classification ◽  
Hidden Information ◽  
Variable Precision ◽  
Variable Precision Rough Set ◽  
Transformer Fault

The variable precision rough set theory is introduced into the fault diagnosis of power transformer. Using the reduction method of the variable precision rough set,the hidden information in power transformer faults data is reduced , and the information which plays a major role in fault classification can be obtained. This approach can overcome the defects of the classical rough set, such as the sensitivity to noise of input information, and accordingly improves the accuracy of fault diagnosis. The example shows that the variable precision rough set used in the power transformer fault diagnosis, enhance the robustness of the data analysis and processing, so, the proposed approach has a more effective diagnostic performance.

The fault diagnosis of power transformer based on rough set theory

2008 ◽  
Author(s):  
Fu Ying-shuan ◽  
Liu Fa-zhan ◽  
Zhang Wei-zheng ◽  
Zhang Qing ◽  
Zhang Gui-xin
Keyword(s):  
Fault Diagnosis ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Power Transformer
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