Research on fault diagnosis method of substation based on rough set and bayes classifier
Hao Wen-bin · Jisuanji gongcheng yu sheji · 2006
On the basis of switch and relay protecting information of substation, an approach to substation fault diagnosis is proposed based on rough sets theory and bayesian classifier. Namely, rough set is applied to mine fault diagnosis knowledge of substation and im- plement predominant attributes selection based on its abilities ofknowledge reduction and disposing indeterminate information, then fault is identified though bayesian classifier. Eventually, being used in fault diagnosis expert systems of substation, the application results show the approach minimizes the problem solving scale and owns excellent anti-inference capabilities, and is an effective method for fault diagnosis of substation.