Lucas Costa Brito

An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery

Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito et al. · Padua Research Archive (University of Padova) · 2022 · 301 citations · Full text

Tool wear monitoring in micromilling using Support Vector Machine with vibration and sound sensors

Milla Caroline Gomes, Lucas Costa Brito, Márcio Bacci da Silva et al. · Precision Engineering · 2020 · 149 citations

Condition Monitoring, Support Vector Machine, Engineering +13

Fault Diagnosis using eXplainable AI: A transfer learning-based approach for rotating machinery exploiting augmented synthetic data

Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito et al. · Expert Systems with Applications · 2023 · 81 citations

Artificial Intelligence, Fault Diagnosis, Engineering +11

Identification of cutting tool wear condition in turning using self-organizing map trained with imbalanced data

Lucas Costa Brito, Márcio Bacci da Silva, Marcus Antônio Viana Duarte · Journal of Intelligent Manufacturing · 2020 · 70 citations

Tool Wear Condition, Technology, Imbalanced Data +11

Fault Detection of Bearing: An Unsupervised Machine Learning Approach Exploiting Feature Extraction and Dimensionality Reduction

Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito et al. · Informatics · 2021 · 28 citations · Full text

Fault Diagnosis, Engineering, Machine Learning +19