Banca de QUALIFICAÇÃO: VALBERIO GONZAGA DE ARAÚJO

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
STUDENT : VALBERIO GONZAGA DE ARAÚJO
DATE: 15/07/2022
TIME: 14:30
LOCAL: sala do Meet - meet.google.com/ndn-ceey-onw
TITLE:

Application of Artificial Intelligence Techniques for Monitoring and Diagnosing Faults in Three-Phase Electric Induction Motors

KEY WORDS:

Faults, Artificial intelligence, Induction motor

PAGES: 79
BIG AREA: Engenharias
AREA: Engenharia Elétrica
SUBÁREA: Medidas Elétricas, Magnéticas e Eletrônicas; Instrumentação
SPECIALTY: Sistemas Eletrônicos de Medida e de Controle
SUMMARY:

The present work consists of developing a system for monitoring and diagnosing faults in three-phase induction motors through readings of phase currents, leakage current, temperature and vibration. Usually the monitoring of motors in industries is carried out only from the temperature and vibration signals that are collected through analyzers at programmed periods and due to the huge amount of equipment to extract these readings a failure can occur without being detected and consequently cause a defect in the motor. equipment. To collect the motor signals, an electrical test bench model DLB MAQ-RN manufactured by De Lorenzo will be used, installed in the UFRN machinery laboratory, where electrical and mechanical failures will be caused, such as short circuit in the stator, low winding insulation stator, damaged bearings, broken rotor bars. To diagnose and classify the failures, Artificial Intelligence (AI) techniques will be used, which after being classified will be announced through a SCADA supervisory screen, allowing the production and maintenance sectors of the factory to plan the best moment of intervention without causing further damage. the production. The results obtained will be used to validate the proposal suggested in this work.

COMMITTEE MEMBERS:
Presidente - 1149567 - ANDRES ORTIZ SALAZAR
Interno - 350693 - ANDRE LAURINDO MAITELLI
Externa ao Programa - 1569480 - JOSSANA MARIA DE SOUZA FERREIRA - UFRNExterno à Instituição - DIEGO ANTONIO DE MOURA FONSECA - UFRN