| Title |
A Study on Constructing the Prediction System Using Data Mining Techniques to Find Medium-Voltage Customers Causing Distribution Line Faults |
| Authors |
배성환(Bae, Sung-Hwan) ; 김자희(Kim, Ja-Hee) ; 임한승(Lim, Han-Seung) |
| Keywords |
Customer Faults ; Data Mining ; Distribution Fault ; Fault Prevention ; Facility Management System ; Reliability ; Medium-Voltage Customer Fault |
| Abstract |
Faults caused by medium-voltage customers have been increased and enlarged their portion in total distribution faults even though we have done many efforts. In the previous paper, we suggested the fault prediction model and fault prevention method for these distribution line faults. However we can't directly apply this prediction model in the field. Because we don't have an useful program to predict those customers causing distribution line faults. This paper presents the construction method of data warehouse in ERP system and the program to find customers who cause distribution line faults in medium-voltage customer's electric facility management applying data mining techniques. We expect that this data warehouse and prediction program can effectively reduce faults resulted from medium-voltage customer facility. |