Cover Image

Optimization of Predictive Maintenance Schedules under Uncertainty: A Scenario-Based Theoretical Framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Baranowski, Jerzy, Bauer, Waldemar
Format:	Preprint
Published:	2026
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Low-Data Predictive Maintenance of Railway Station Doors and Elevators Using Bayesian Proxy Flow Modeling
by: Bauer, Waldemar, et al.
Published: (2026)

Bayesian and Classical Feature Ranking for Interpretable BLDC Fault Diagnosis
by: Bauer, Waldemar, et al.
Published: (2026)

Recent advances in data-driven methods for degradation modelling across applications
by: Jarosz-Kozyro, Anna, et al.
Published: (2025)

Comparison of Deep Recurrent Neural Networks and Bayesian Neural Networks for Detecting Electric Motor Damage Through Sound Signal Analysis
by: Bauer, Waldemar, et al.
Published: (2025)

Framework for Modeling and Optimization of On-Orbit Servicing Operations under Demand Uncertainties
by: Jonchay, Tristan Sarton du, et al.
Published: (2021)

Energy-Aware Integrated Proactive Maintenance Planning and Production Scheduling
by: Li, Hongliang, et al.
Published: (2026)

Scenario Convex Programs for Dexterous Manipulation under Modeling Uncertainties
by: Altiner, Berk, et al.
Published: (2024)

Scenario-aware Uncertainty Quantification for Trajectory Prediction with Statistical Guarantees
by: Shu, Yiming, et al.
Published: (2025)

Detection of Electric Motor Damage Through Analysis of Sound Signals Using Bayesian Neural Networks
by: Bauer, Waldemar, et al.
Published: (2024)

A Weighted Predict-and-Optimize Framework for Power System Operation Considering Varying Impacts of Uncertainty
by: Zhuang, Yingrui, et al.
Published: (2025)

Robust Continuous-Time Generation Scheduling under Power Demand Uncertainty: An Affine Decision Rule Approach
by: Cho, Youngchae, et al.
Published: (2025)

A Predictive Framework for Adversarial Energy Depletion in Inbound Threat Scenarios
by: Nguyen, Tam W.
Published: (2025)

Two-Stage Adaptive Robust Optimization Model for Joint Unit Maintenance and Unit Commitment Considering Source-Load Uncertainty
by: Lu, Hongrui, et al.
Published: (2024)

Policy Optimization with Differentiable MPC: Convergence Analysis under Uncertainty
by: Zuliani, Riccardo, et al.
Published: (2026)

Robust Co-Optimization of Distribution Network Hardening and Mobile Resource Scheduling with Decision-Dependent Uncertainty
by: Ma, Donglai, et al.
Published: (2025)

A Unified Control-Theoretic Framework for Saddle-Point Dynamics in Constrained Optimization
by: Centorrino, Veronica, et al.
Published: (2026)

Intelligent Operation and Maintenance and Prediction Model Optimization for Improving Wind Power Generation Efficiency
by: Liu, Xun, et al.
Published: (2025)

Algebraic Connectivity Control and Maintenance in Multi-Agent Networks under Attack
by: Zhao, Wenjie, et al.
Published: (2024)

An Iterative Problem-Driven Scenario Reduction Framework for Stochastic Optimization with Conditional Value-at-Risk
by: Zhuang, Yingrui, et al.
Published: (2025)

Predictive Maintenance Optimization for Smart Vending Machines Using IoT and Machine Learning
by: Hasan, Md. Nisharul
Published: (2025)

From Agent Loops to Structured Graphs:A Scheduler-Theoretic Framework for LLM Agent Execution
by: Wei, Hu
Published: (2026)

A Control Theoretic Framework for Adaptive Gradient Optimizers in Machine Learning
by: Chakrabarti, Kushal, et al.
Published: (2022)

Optimized Task Assignment and Predictive Maintenance for Industrial Machines using Markov Decision Process
by: Nasir, Ali, et al.
Published: (2024)

Sample Robust Scheduling of Electricity-Gas Systems Under Wind Power Uncertainty
by: Liu, Rong-Peng, et al.
Published: (2023)

Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
by: Wang, Han, et al.
Published: (2025)

A Survey of Predictive Maintenance: Systems, Purposes and Approaches
by: Zhu, Tianwen, et al.
Published: (2019)

Predictive Multi-Microgrid Generation Maintenance: Formulation and Impact on Operations & Resilience
by: Fallahi, Farnaz, et al.
Published: (2020)

MAPS: A Mode-Aware Probabilistic Scheduling Framework for LPV-Based Adaptive Control
by: Kim, Taehun, et al.
Published: (2025)

A Portfolio-Level Optimization Framework for Coordinated Market Participation and Operational Scheduling of Hydrogen-Centric Companies
by: Mansouri, Seyed Amir, et al.
Published: (2026)

A Scenario-Based Approach for Stochastic Economic Model Predictive Control with an Expected Shortfall Constraint
by: Arastou, Alireza, et al.
Published: (2025)

Distributed Truncated Predictive Control for Networked Systems under Uncertainty: Stability and Near-Optimality Guarantee
by: Xu, Eric, et al.
Published: (2023)

Passivity-Based Gain-Scheduled Control with Scheduling Matrices
by: Moalemi, Sepehr, et al.
Published: (2024)

Optimizing Battery and Line Undergrounding Investments for Transmission Systems under Wildfire Risk Scenarios: A Benders Decomposition Approach
by: Piansky, Ryan, et al.
Published: (2025)

Sequential Multi-objective Multi-agent Reinforcement Learning Approach for Predictive Maintenance
by: Chen, Yan, et al.
Published: (2025)

A Robust Optimization Framework for Flexible Industrial Energy Scheduling: Application to a Cement Plant with Market Participation
by: Rojas-Innocenti, Sebastián, et al.
Published: (2025)

A Control Theoretical Approach to Online Constrained Optimization
by: Casti, Umberto, et al.
Published: (2023)

Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games
by: Li, Jingqi, et al.
Published: (2023)

Green Hydrogen under Uncertainty: Evaluating Power-to-X Strategies Using Agent-Based Simulation and Multi-Criteria Decision Framework
by: Madsen, Frederik Wagner, et al.
Published: (2025)

Valuing Uncertainties in Wind Generation: An Agent-Based Optimization Approach
by: Shen, Daniel, et al.
Published: (2022)

A Game-Theoretic Predictive Control Framework with Statistical Collision Avoidance Constraints for Autonomous Vehicle Overtaking
by: Yu, Sheng, et al.
Published: (2025)