1 citations · 1 across the 5 of their papers we have counts for
7 papers
Regime-Dependent Value of CVaR in Preventive Maintenance Scheduling under RUL Uncertainty
Jerzy Baranowski, Waldemar Bauer
We study preventive-maintenance scheduling for a small fleet when several assets compete for a limited number of maintenance slots and their remaining useful lives (RULs) are uncer…
Bayesian Changepoint Detection for Smart Sensing of Battery Degradation: Cycle-Level Health Indicators and PyMC Implementation
Waldemar Bauer, Anna Jarosz-Kozyro, Jerzy Baranowski
Reliable detection of the onset of accelerated degradation is central to safe and cost-efficient operation of lithium-ion batteries. This paper presents a Bayesian single-changepoi…
Optimization of Predictive Maintenance Schedules under Uncertainty: A Scenario-Based Theoretical Framework
Jerzy Baranowski, Waldemar Bauer
This paper proposes a scenario-based framework for predictive maintenance scheduling under uncertainty in a finite planning horizon. The considered setting involves multiple assets…
Bayesian and Classical Feature Ranking for Interpretable BLDC Fault Diagnosis
Waldemar Bauer, Jerzy Baranowski
This paper compares Bayesian and classical feature ranking methods for interpretable fault diagnosis of brushless DC (BLDC) motors. Two Bayesian approaches, spike-and-slab and ARD…
Low-Data Predictive Maintenance of Railway Station Doors and Elevators Using Bayesian Proxy Flow Modeling
Waldemar Bauer, Jerzy Baranowski
This paper proposes a low-data predictive maintenance framework for automatic doors and elevators in a railway station building. The method is intended for assets without direct co…
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…