Research on Rough-set-based Knowledge Acquisition in Power System Electric Network Fault Diagnostic Expert System
Zhao Hua-me · Sci-Tech Information Development & Economy · 2006
This paper proposes a new method of rough-set-based knowledge acquisition in the power system fault diagnostic expert system.The method uses the fault section that has been estimated by the tripped breakers in the hierarchical fault diagnosis system to decide which conditional attributes in the decision table will be selected to remove the redundant conditional attributes.The diagnostic rules are extracted by attribute-reducing and value-reducing the decision table.An example of fault sample in Sanshui Power System shows that the method presented in the paper has not only effective knowledge acquisition,but also excellent fault-tolerance capability.