Power distribution systems are susceptible to external environmental disturbances. The early warning of po-tential fault risks in both spatial and temporal scales can assist in maintenance planning and overhaul scheduling for distribution systems, thus their overall reliability consequently. To achieve it, this paper proposes a self-adaptive prediction model for future failure risks in distribution systems, namely the association rules explo-ration with conditional filter and fitness regulation (AREcffr). In this approach, electrical attributes along with surrounding condition factors are both...
