Rough Set Theory for Data Mining for Fault Diagnosis on Power Transformer

2006 ◽  
Author(s):  
Wenqing Zhao ◽  
Yongli Zhu
Keyword(s):  
Data Mining ◽  
Fault Diagnosis ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Power Transformer

Research of Data Mining of Vibratory Signal Based on Rough Set Theory

2013 ◽  
Vol 347-350 ◽  
pp. 228-232
Author(s):  
Qin Zeng Xue ◽  
Gang Xue ◽  
Guo Ku Liu
Keyword(s):  
Data Mining ◽  
Fault Diagnosis ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Signal Energy ◽  
Experimental Platform ◽  
Vibratory Signal ◽  
Feature Parameter ◽  
Vibratory Signals

This paper sets three fault modes of rotor misalignment, pedestal looseness and rub between rotor and stator by rotor experimental platform and collected corresponding vibratory signals. Part of vibratory signal energy feature was extracted in the time field. As feature parameter of energy, the signal collected was mined using rough set theory, fault diagnosis was established on this basis. Validity of rule was verified by remaining vibratory signal, the result indicates diagnosis are accurate, fault diagnosis rule is meaningful.

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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