3 papers
eess.SY2026
High-Probability ISS Tubes for Continuous-Time State Estimation
Jerzy Baranowski
This paper studies a probabilistic interpretation of input-to-state stability (ISS) bounds for estimation-error dynamics in continuous-time systems. We show that, if the aggregated…
cs.LG2025
Comparison of Deep Recurrent Neural Networks and Bayesian Neural Networks for Detecting Electric Motor Damage Through Sound Signal Analysis
Waldemar Bauer, Jerzy Baranowski
Fault detection in electric motors is a critical challenge in various industries, where failures can result in significant operational disruptions. This study investigates the use…
eess.AS2024
Detection of Electric Motor Damage Through Analysis of Sound Signals Using Bayesian Neural Networks
Waldemar Bauer, Marta Zagorowska, Jerzy Baranowski
Fault monitoring and diagnostics are important to ensure reliability of electric motors. Efficient algorithms for fault detection improve reliability, yet development of cost-effec…