Banca de DEFESA: ANDERSON EGBERTO CAVALCANTE SALLES

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : ANDERSON EGBERTO CAVALCANTE SALLES
DATE: 31/01/2022
TIME: 14:00
LOCAL: google meet
TITLE:

Internal Fault Detection in SCIG using Intelligent Systems.


KEY WORDS:

Internal faults, SCIG, Artificial Neural Networks, FPGA.


PAGES: 77
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUBÁREA: Sistemas de Computação
SPECIALTY: Hardware
SUMMARY:

The objective of this study is the implementation and evaluation of intelligent systems for detecting the turn-turn and turn-ground faults in wind turbines based on the squirrel-cage induction machine. Therefore, it is proposed to implement two machine learning models, an artificial neural network and a convolutional neural network, in order to learn the characteristics of the stator electrical currents and differentiate
healthy and damaged machines. The systems are trained with artificial data from simulations.


BANKING MEMBERS:
Presidente - 1694485 - MARCIO EDUARDO KREUTZ
Interna - 1350250 - ANNE MAGALY DE PAULA CANUTO
Interna - 1882699 - MONICA MAGALHAES PEREIRA
Externo ao Programa - 2885532 - IVANOVITCH MEDEIROS DANTAS DA SILVA
Externo à Instituição - ALVARO DE MEDEIROS MACIEL - IFPB
Externo à Instituição - LUCIANO SALES BARROS - UFPB
Notícia cadastrada em: 17/01/2022 08:21
SIGAA | Superintendência de Tecnologia da Informação - (84) 3342 2210 | Copyright © 2006-2024 - UFRN - sigaa02-producao.info.ufrn.br.sigaa02-producao