Improving Power Transformers Maintenance with Data Science

The continuous expansion of the electrical power system demands increasingly strict operating standards in terms of safety and availability. In this scenario, the maintenance of power transformers becomes essential for the safe and efficient operation of the entire system. Operating data must be analyzed to verify the correct functioning of the transformer. This work applies a data science methodology in a real transformer to extract operating thermal profiles and commutations Taps characteristic. This analysis helps in decisions about predictive maintenance planning.