| Title |
A Connectionist Expert System for Fault Diagnosis of Power System |
| Keywords |
전력계통 사고구간판정 ; Connectionist 전문가 시스템 ; 계층형 신경회로망 Fault Dicrghosis of Power System ; Connectionist Expert System ; Hierachical Neural Network |
| Abstract |
The application of Connectionist expert system using neural network to fault diagnosis of power system is presented and compared with rule-based expert system. Also, the merits of Connectionist model using neural network is presented. In this paper, the neural network for fault diagnosis is hierarchically composed by 3 neural network classes. The whole power system is divided into subsystems, the neural networks (Class II) which take charge of each subsystem and the neural network (Class III) which connects subsystems are composed. Every section of power system is classified into one of the typical sections which can be applied with same diagnosis rules, as line-section, bus-section, transformer-section. For each typical section, only one neural network (Class I) is composed. As the proposed model has hierarchical structure, the great reduction of learning structure is achieved. With parallel distributed processing, we show the possibility of on-line fault diagnosis. |