Determination of Transformers’ Insulating Paper State Based on Classification Techniques

The continuity of transformer operation is very necessary for utilities to maintain a power flow in networks and achieve desired revenue. Most failures are due the degradation insulating system, which consists oil paper. degree polymerization (DP) key detector paper state. research literature has computed DP as function furan compounds, especially 2-furfuraldehyde (2-FAL). In this research, prediction model was constructed based on some most periodical tests that were conducted oil, used predictors evaluated carbon monoxide (CO), dioxide (CO2), breakdown voltage (VBD), interfacial tension (IF), acidity (ACY), moisture (M), color (OC), DP, indicator state, categorized into five classes labeled 1, 2, 3, 4, 5 express normal aging rate, accelerating excessive danger zone, high risk failure, end expected life, respectively. classification techniques applied collected data samples construct results revealed fine tree best classifier samples, with 96.2% accuracy.