Banca de QUALIFICAÇÃO: ANDRÉ FONSECA CAVALCANTI

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : ANDRÉ FONSECA CAVALCANTI
DATE: 26/08/2024
TIME: 20:30
LOCAL: https://meet.google.com/kbx-urig-nmq
TITLE:

Machinery Guardian: Optimizing Maintenance with Artificial Intelligence and Autonomy

KEY WORDS:

Industry 4.0, autonomous maintenance, cyber-physical systems, process optimization, artificial intelligence.

PAGES: 40
BIG AREA: Engenharias
AREA: Engenharia Mecânica
SUMMARY:

The advancement of Industry 4.0, characterized by the integration of intelligent systems into production processes, presents challenges and opportunities for asset maintenance, focusing on the adoption of autonomous technologies and artificial intelligence. This study investigates the implementation of autonomous maintenance systems, analyzing how these technologies can optimize the detection and classification of failures in cyber-physical systems, enhancing equipment availability and reliability. The research was conducted using real-time data analysis methodologies, based on sensors and AI algorithms, resulting in precise diagnostics and more effective interventions. The results indicate that the incorporation of artificial intelligence into maintenance systems not only increases operational efficiency but also reduces costs and minimizes risks, pointing to a future where autonomous maintenance becomes a standard in advanced industry.

COMMITTEE MEMBERS:
Presidente - 1378360 - MARCO ANTONIO LEANDRO CABRAL
Interno - 1753123 - CARLOS ALEXANDRE CAMARGO DE ABREU
Interno - 1753067 - EFRAIN PANTALEON MATAMOROS
Externo ao Programa - 1410576 - FELIPE MACEDO ZUMBA - UFRN