A New Method of Reduction of Decision Table for Power System Fault Diagnosis
Sun Dong-lian · Jisuanji fangzhen · 2015
This paper is in research of fault diagnosis method for transmission network. With the power system being more and more complex,it will inevitably lead to the increasing complexity of decision table for fault diagnosis of power system. Aiming at the problem of reducing decision table,this paper presents a reduction method of decision table based on the rough set theory and association rule data mining technology. The method improves traditional rough sets reduction algorithm and reduces the obtained results fatherly according to the existed between protection,circuit breaker and the components of the internal connection with the application of association rules data mining technology. Finally a simple decision strategy is got. Through example analysis shown that the proposed method is simple,rapid and effective. Visual C + + programming is used to realize the reduction of decision table for example and which has proved the correctness of the method.