A distribution network fault data analysis method based on association rule mining
Gao Zhanjun, Peng Zhengliang, Nuo Gao, Bin Chen · 2014
This paper presents a new method of the distribution network fault diagnose based on data mining. This method uses the fault information produced in the process of distribution network fault handling to study the spatial and temporal characteristics of distribution network fault. It uses APRIORI algorithm to establish database of fault attributes and mine the association rules of fault information. Then the distribution network fault is diagnosed by using the strong association rules database without real time monitoring information supplied by distribution automation system. The reliability of power supply will be improved greatly through this method.