ROCHA NETO, E.; http://lattes.cnpq.br/6076487371415841; ROCHA NETO, Eloi.
Abstract:
One of the most important problems that have been found in power
supervision and control centers is a huge mass of data to be monitored. Moreover, the
dimension and the complexity of transmission networks make the monitoring task
very hard. To complicate matters still more, data can contain noise, in other words,
data can be lost or generated spuriously. To cope with noise, robust tools may be
considered in order to help operators in power supervision and control centers. This
thesis aims to develop a tool for fault diagnosis in electrical systems, that uses a
robust event correlation technique, and deploy it in CHESF's Eastern Regional
Operations Center.