| Title |
Development of the Expert System for Diagnosing Silicone Oil-filled Transformer |
| Authors |
Jong-Fil Moon ; Jae-Chul Kim ; Tae-Hoon Im |
| Keywords |
Expert System ; Dissolved Gas Analysis(DGA) ; Fuzzy Rule ; Database |
| Abstract |
In this paper, the diagnostic expert system for silicone oil-filled transformer is developed using dissolved gas analysis(DGA). There are many diagnostic methods for diagnostic oil-immersed transformer. But DGA is used to the proposed expert system since it has been verified that DGA is very efficient diagnostic method for transformer. In addition, it is resonable that fuzzy rule, degree of inclusion and fuzzy measure must be considered to handle the uncertainty nature of gas boundary and rules. The proposed expert system consists of knowledge base module, inference engine module and human-machine interface(HMI) module. The knowledge base module consists of the knowledge using the rule. The inference engine module is used to the fuzzy rule. The history of the transformer gas data is managed by the database. the effect of the proposed expert system is verified by case studies. |