Accepted Papers

For DX’25, please find below the preliminary, alphabetically ordered list of papers accepted for inclusion in the DX’25 proceedings as full papers:

Preliminary Accepted Papers:

• Are Diagnostic Concepts Within the Reach of LLMs?
  Anna Sztyber-Betley, Elodie Chanthery, Louise Travé-Massuyès, Silke Merkelbach, Karol Kukla, Maxence Glotin, Alexander Diedrich and Oliver Niggemann
• Assessing Diagnosis Algorithms: Of Sampling, Baselines, Metrics and Oracles
  Ingo Pill and Johan de Kleer
• Automating Control System Design: Using Language Models for Expert Knowledge in Controller Auto-tuning
  Marlon Ares-Milian, Gregory Provan and Marcos Quinones-Grueiro
• Beyond Static Diagnosis: A Temporal ASP Framework for HVAC Fault Detection
  Roxane Koitz-Hristov, Liliana Marie Prikler and Franz Wotawa
• Combining Dynamic Slicing and Spectrum-based Fault Localization – A First Experimental Evaluation
  Jonas Schleich and Franz Wotawa
• Data-Driven Fault Detection and Isolation Enhanced with System Structural Relationships
  Austin Coursey, Abel Diaz-Gonzalez, Marcos Quinones-Grueiro and Gautam Biswas
• A Data-driven Particle Filter Approach for System-Level Prediction of Remaining Useful Life
  Abel Diaz-Gonzalez, Austin Coursey, Marcos Quinones-Grueiro and Gautam Biswas
• One-Shot Learning in Hybrid System Identification: A New Modular Paradigm
  Swantje Plambeck, Maximilian Schmidt, Goerschwin Fey and Louise Travé-Massuyès
• Optimized Spectral Fault Receptive Fields for Diagnosis-Informed Prognosis
  Stan Muñoz Gutiérrez and Franz Wotawa
• Safe to Fly? Real-Time Flight Mission Feasibility Assessment for Drone Package Delivery Operations
  Abenezer Taye, Austin Coursey, Marcos Quinones-Grueiro, Chao Hu, Gautam Biswas and Peng Wei
• The DX Competition 2025 and Its Benchmarks
  Ingo Pill, Daniel Jung, Eldin Kurudzija, Anna Sztyber-Betley, Michał Syfert, Kai Dresia, Günther Waxenegger-Wilfing and Johan de Kleer
• Towards Predictive Maintenance in an Aluminum Die-Casting Process Using Deep Learning Clustering and Dimensionality Reduction
  Miguel Cubero, Luis Ignacio Jiménez, Daniel López, Belarmino Pulido and Carlos Alonso-González
• Unsupervised Multimodal Learning for Fault Diagnosis and Prognosis – Application to Radiotherapy Systems
  Kélian Poujade, Louise Travé-Massuyès, Jérémy Pirard and Laure Vieillevigne
• Using Qualitative Simulation Models for Monitoring and Diagnosis
  Ankita Das, Roxane Koitz-Hristov and Franz Wotawa
• GEMMA-FD: Zero-Shot Fault Detection in Heat Pumps Using Multimodal Language Models
  Herbert Mühlburger and Franz Wotawa.
• Beyond Dynamic Bayesian Networks: Fusing Temporal Logic Monitors with Probabilistic Diagnosis
  Chetan Kulkarni and Johan Schumann.