3 citations · 4 across the 3 of their papers we have counts for
3 papers
Band Relevance Factor (BRF): a novel automatic frequency band selection method based on vibration analysis for rotating machinery
Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito +1
The monitoring of rotating machinery has now become a fundamental activity in the industry, given the high criticality in production processes. Extracting useful information from r…
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 +1
Artificial Intelligence (AI) is one of the approaches that has been proposed to analyze the collected data (e.g., vibration signals) providing a diagnosis of the asset's operating…
An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery
Lucas Costa Brito, Gian Antonio Susto, Jorge Nei Brito +1
The monitoring of rotating machinery is an essential task in today's production processes. Currently, several machine learning and deep learning-based modules have achieved excelle…