Study on prediction method of the aging status of transformer insulation paper and moisture content in oil

Focusing on the realization of the assessment system established by the application of BP neural network and using it to predict the degree of polymerization of the insulating paper and the moisture content of the insulating oil. Utilizing the developed system to test the transformers different operating year in site. The result shows that assessment system can be developed based on BP neural network method more accurate prediction of the moisture content of the oil and the degree of polymerization of the insulating paper.