Rodrigo de Paula Monteiro

Analysis of time–frequency signal representations for anomaly detection in industrial environments

In the context of Industry 4.0, sound-based anomaly detection has emerged as a relevant strategy to support predictive maintenance and reduce unplanned downtime in industrial environments. This study investigates the impact of different time–frequency representations on acoustic anomaly detection in industrial machines...