SUBSTATION FAULT DIAGNOSIS METHOD BASED ON ROUGH SET THEORY AND NEURAL NETWORK MODEL
Qunzhan Li · Power System Technology · 2005
Based on the information of circuit breakers and protection devices, a rough set theory and neural network theory based substation fault diagnosis method is proposed, i.e., using the ability of knowledge reduction and processing indeterminate information of rough set theory, the hierarchical mining of substation’s fault diagnosis knowledge is carried out and optimal seeking of attributes is performed, then applying fault diagnosis knowledge the fault mode is identified by recursive neural networks. Actual examples show that the proposed method possesses good anti-interference ability and can effectively reduce the scale of solution.