Predição do Grau de Polimerização Utilizando Machine Learning: Nova Metodologia de Avaliação da Vida Útil de Transformadores de Potência

Abstract

The main indicator used to assess the condition of solid insulation in power equipment currently is the degree of polymerization (DP). This work presents a systematic study where machine learning techniques are used to estimate DP from 2-fal and other indicators. The results are promising, indicating that 2-fal, CO2/CO, the Chendong formula, and equipment power can be used together to better predict the current value of its service life.