Predictive maintenance is key for the management of the electrical infrastructures. Electrical transformers are critical for assuring that the reliability and quality of supply, as an interconnection component in the electrical generation and distribution network. Because of this, they must be the objects of systematic evaluation.
The need for quickly and cost-effectively obtaining information about the machine and about changes taking place in it, while also avoiding interruption of the electrical supply, makes analysis of dielectric fluids one of the most important techniques for monitoring the state of the transformers.
This information is of vital importance at the time of evaluating the operating conditions as well as to detect and prevent problems, and to plan corrective actions with sufficient foresight, thereby avoiding unscheduled discharges.