Adaptive Classification and Identification Method for Electrical Safety Hazards Based on ADASYN-RF
In order to reduce the possible loss caused by electrical safety hazards and provide effective reference data for equip-ment maintenance,an adaptive classification and identification method for electrical safety hazards based on adaptive synthetic sampling(ADASYN)-random forest(RF)is proposed.According to the generation principle of different types of electrical safety hazards,this paper sets the corresponding current and voltage characteristics as the classification and identification criteria.ADASYN algorithm is used to adaptively collect the operating data of electrical equipment,and extract the operating character-istics of electrical equipment,such as current harmonic distortion rate and voltage imbalance.The RF classifier is constructed to determine the type of current electrical safety hazards,so as to realize the adaptive classification and identification of electri-cal safety hazards.Through comparison with traditional identification methods,it is concluded that the accuracy,recall and mean F value of the optimal design method are improved by 0.016,0.01 and 0.013,which has better identification perform-ance.
ADASYN-RFelectrical saftety hazardadaptive classificationidentification of safety hazard
万方数据
维普
