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20242026
most citedBayesian and Classical Feature Ranking for Interpretable BLDC Fault Diagnosis

1 citations · 1 across the 5 of their papers we have counts for

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eess.SY2026

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…

eess.SY2026

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…

eess.SY2026

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…

eess.SY2026★ 1 cited

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…

eess.SY2026

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…