5 papers
Singular Sampling in Nonlinear Observability: Higher-Order Minimax Laws and Timing Crossovers
Jerzy Baranowski
We study deterministic bounded-noise state reconstruction for nonlinear systems when the measurement schedule drives the sampled-output map through a rank-deficient configuration.…
Uniform High-Probability ISS Tubes for Sampled-Data State Estimation
Jerzy Baranowski
State estimates used in sampled monitoring and automation need bounds that remain valid between measurements. We develop a finite-horizon input-to-state-stability tube and observer…
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…
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…
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…