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...

Full description

Saved in:
Bibliographic Details
Main Authors: Dias, G.A.D., Bittencourt, B.G., Correa, S.M., Sonalio, F.V., da Silva, L.C.F., Pereira, D.L., Koch, V.E.
Format: Conference Proceeding
Language:English
Subjects:
Artificial intelligence
Consumer electronics
Data analysis
Electric variables measurement
Fault detection
Manufacturing
Power measurement
Power quality
Statistical analysis
Topology
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
DOI:10.1109/ICHQP.2002.1221469