Evaluation of sags on RGE electric system

The aim of this paper is to show the development of an automatic methodology of large data mass analysis based on artificial intelligence elements, which allows the detection of faults places, probable causes and also the data statistic proceedings obtained. With the knowledge of these data and the topologies, equipment's characteristics and other parameters, besides a knowledge base about the subject, the causes and responsible locations of these kinds of disturbances are examined.