Title :
Evaluation of sags on RGE electric system
Author :
Dias, G.A.D. ; Bittencourt, B.G. ; Correa, S.M. ; Sonalio, F.V. ; Silva, L. C F da ; Pereira, D.L. ; Koch, V.E.
Author_Institution :
PUCRS, Rio Grande, Brazil
Abstract :
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.
Keywords :
artificial intelligence; database management systems; knowledge based systems; power supply quality; power system analysis computing; power systems; RGE electric system; artificial intelligence element; data mass analysis; equipment characteristics; sags evaluation methodology; specialist system; Artificial intelligence; Consumer electronics; Data analysis; Electric variables measurement; Fault detection; Manufacturing; Power measurement; Power quality; Statistical analysis; Topology;
Conference_Titel :
Harmonics and Quality of Power, 2002. 10th International Conference on
Print_ISBN :
0-7803-7671-4
DOI :
10.1109/ICHQP.2002.1221469
