Martin Sobek

A comparative study of machine and deep learning models for time-series-based bearing fault diagnosis of induction motors.

Accurate fault detection in induction motors (IMs) under varying load conditions remains a critical challenge in industrial condition monitoring (CM). Inspired by the foundational work, which highlighted the impact of mechanical load on fault signature detectability. This study proposes a multi-modal signal analysis ap...