Translated Title
The Warning of Insulation Deterioration Based on the Wavelet Analysis and GABP Neural Network in Distribution Networks
Translated Abstract
Most of the grounding faults are caused by insulation deterioration in distribution networks.The process and classification of single-phase ground fault data contributes to improve the diagnosis of distribution network line’s fault status and line insulation,thus the distribution network line insulation warning is presented.In this paper,Wavelet analysis method is used to analyze and process the temporary grounding fault to extract corresponding features.Using the neural network which is good at forecasting to forecast the days away from the line equipment will be completely damaged.Through the example, the feasibility of phase plane and genetic BP neural network is demonstrated.Comparing the predicting deterioration in insulation value with the set threshold,the accuracy of that GABP neural network in line insulation warning is indicated.The proposed method can effectively judge the deterioration degree of insulation and propose warning in time,ensuring power supply continuity and efficiency.
Translated Keyword
deterioration degree of insulation
distribution network
GABP neural network
temporary single-phase grounding fault
the warning of insulation deterioration
wavelet analysis
Access Number
WF:perioarticalgyd201507011
