Transformer Fault Diagnosis Method Based on Rough Set Theory
Zhiqiang He · Gao dianya jishu · 2006
Due to the imperfection and complexity of electric power transformer's fault,The aim of this paper is to introduce an improved three-ratio fault diagnosis technique for power transformer,which can deal with this transformer's fault preferably.With this method power transformer malfunction can be known based on incomplete symptom information,The knowledge acquisition method based on rough set theory,construct attribute decision-making table,and construct differentiation matrix and differentiation function though attribute decision-making table.It can obtain ameliorated three-ratio attribute decision-making table by corresponding extract and suit operation.Experiment result shows : this new diagnosis method expand coding bound of original IEC three-ratio,heighten the ability of fault diagnosis,Optimized diagnostic time and improve the accuracy of diagnosis.This method also has its nicer excellence in elevation diagnosis precision of transformer fault and has abroad foreground in practicality.Decision-making table reduction method based on rough set theory can deal with complexed fault of power transformer,Solve some shortage of IEC three-ratio method in these things,at the same time,the method has some contain fault ability in a certain degree,It also can dispose lost or false power transformer fault symptom,Improve the fault diagnose nicety-ratio.