Feature analysis and classification methodology for overhead distribution fault events

This paper presents the analysis of unique features and classification method for identifying the root cause of overhead distribution fault events. In particular, the paper focuses on faults caused by animal contacts, tree contacts and lightning-induced disturbances. The proposed methodology is implemented and tested using 148 real-world fault events. The methodology has a classification rate of 90%, which demonstrates a good performance in identifying the cause of the events.