Banca de QUALIFICAÇÃO: ISABELLE CRISTINE DE ALMEIDA MEIRELES
Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.DISCENTE : ISABELLE CRISTINE DE ALMEIDA MEIRELES
DATA : 08/07/2026
HORA: 13:30
LOCAL: Sala Virtual: meet.google.com/kny-hxnm-pab
TÍTULO:
Alarm management and fault prediction using machine learning applied to intelligent systems embedded in mining equipment.
PALAVRAS-CHAVES:
Prediction; Regression; electrical motors; insulation resistance; machine learning.
PÁGINAS: 50
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Elétrica
RESUMO:
The identification of the operational condition of electric motors in industrial plants is essential for ensuring the continuity of the production process. The degradation of insulation resistance in three-phase induction motors (IMs) represents one of the most critical challenges in asset management, as it leads to unplanned downtime, increased corrective maintenance costs, higher energy consumption, and, consequently, a premature reduction in equipment lifespan. This study proposes a methodology to infer the corrected insulation resistance in industrial three-phase induction motors using Machine Learning. Through the construction of a dataset based on real process data from a plant operating six motors, the entire development was carried out, including techniques related to feature engineering, regression analysis, and classification, applying both linear and non-linear models. Preliminary results indicate that non-linear models performed better in estimating insulation resistance; however, classification approaches demonstrated superior performance overall. In both cases, feature selection had a significant impact. The proposed solution proves to be effective in optimizing predictive maintenance and preventing unplanned downtime.
MEMBROS DA BANCA:
Presidente - 2362923 - GIOVANI BERNARDES VITOR
Interno - 1104811 - WANER WODSON APARECIDO GONCALVES SILVA
Externo à Instituição - DANTON DIEGO FERREIRA - UFLA
Externo à Instituição - HENRIQUE LUIS MOREIRA MONTEIRO - UFLA