About the Journal

The European Conference of the Prognostics and Health Management (PHM) Society is held in the spring of even years (starting in 2012) and brings together the global community of PHM experts from industry, academia, and government in diverse application areas including energy, aerospace, transportation, automotive, manufacturing, and industrial automation.

All articles published by the PHM Society are available to the global PHM community via the internet for free and without any restrictions.


Current Issue

Edited by:

Phuc Do, Cordelia Ezhilarasu & Anibal Bregon

ISBN: 978-1-936263-44-8

Published: 2026-07-03

Proceedings Front Matter

PHME 2026 Management Team and Publisher Information

DO
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Page 1

Technical Papers

A Collective Learning Workflow for Remaining Useful Life Estimation of Building Assets Under Sparse Degradation Data

Edgar Segovia, Joao Patacas, Xiang Xie, Philip James, Sneha Verma, Mohamad Kassem
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A Conceptual Framework to Integrate Prognostics and Health Management with Maintenance, Repair and Overhaul for a Hydrogen-Electric Aircraft Propulsion System

Lisandro A. Jimenez-Roa, Nela Koubkova, Lothar Kerschgens, Arjan de Jong
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A Convolutional Autoencoder for Fast Compressive Sensing Reconstruction of Vibration Signals

Imen Tounsi, Fadi Karkafi, Mohammed El Badaoui, Francois Guillet
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Page 1-8

A Framework for the Integration of Hybrid Models in Digital Twin Architectures for PHM

Jill Mercedes Linneweber, Andreas Maximilian Schultz, Laura Müller, Osarenren Kennedy Aimiyekagbon, Iryna Mozgova, Walter Sextro
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A Graph Auto-encoder Framework for Spatio-temporal Anomaly Detection of Corrosion across a Fleet of Offshore Wind Turbines Using ICCP Data

Orkun Temel, Saeid Hedayatrasa, Joachim Verhelst, Bram De Baere, Stefan Hendricx
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An MBSE Driven Framework for Automated Generation of RAM Risk Models from Maritime Vessel System Architectures

Yanlai Wang, Toby Adam Michael Russ, Octavian Niculita
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A Methodological Framework for Prognosis Using Control-Oriented Models: Application to an Aeronautical Power Converter

Mohamed SKAIK, Laurent SAINTIS, Sylvain VERRON, Nicola ESPOSITO
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A Methodology for Progressive Physics Integration in Data-Driven Anomaly Detection: Application to Circuit Breaker Monitoring

Melvin FERNANDES NOVO, Augustin Cathignol, Diego Alberto, Maya Alalam, Benoit Iung, Alexandre Voisin, Phuc Do
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A Metric-Driven Framework for Evaluating Prognostic Based Failure Estimation on Spare Part Inventory Management

Tanmay Daga, Robert Meissner, Ahmad Ali Pohya, Gerko Wende
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A Novel High-Level Reasoning Architecture for Aircraft Prescriptive Maintenance

Haroun El Mir, Fakhre Ali, Ian Jennions, Steve King, Martin Skote, Lusitha Ramachandra
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A Proposal for Application of Physics-Informed Digital Twin and Particle Filtering for the Detection and Prognosis in Harmonic Drives

Roberto Guida, Andrea De Martin, Antonio Carlo Bertolino, Giovanni Jacazio, Massimo Sorli
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A Probabilistic Baseline Learning Framework for SCADA-Based Wind Turbine Aging Diagnosis and Multi-Scale Performance Degradation Analysis

Qianling Wang, Yolanda Vidal
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A Prognostic Framework for Railway Track Geometry: Tamping Detection, Settling-Aware Estimation, and Spatially Resolved RUL Prediction

Abdelhamid Ghoul, Wolfgang Lachnit, Mohammed Amin Adoul, Wolfgang Birk
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A Reliability Digital Twin Architecture for Real-Time Fleet Monitoring and Predictive Maintenance of Hydrostatic Transmission Components

Bruno Dandine, Anthony Dessaux, Philippe Telega
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A Study on the Impact of Categorical Alarm Data in Power Estimation and Anomaly Detection of Photovoltaic Inverters

Jorge Ruiz Amantegui, Hai-Canh Vu, Phuc Do
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A Sustainable Anomaly Detection Framework for Autonomous Surface Ship: Adaptive Subsystem-Level Anomaly Detection Algorithm via MLOps

Minji KIM, Gwangho YUN, Hwasup JANG, Jaecheul PARK
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Page 1-11

A Two-Stage Machine Learning Approach for Quantitative Gear Crack Detection Using Vibration Signal Analysis

Paarth Singh Rathore, Arvind Keprate, L. Rajya Lakshmi, Omar D. Mohammed, Debasish Ghose
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ACE – Automating Causal Extraction: Leveraging Large Language Models for Bowtie Diagram Generation in Failure Analysis

Priyank Venkatesh, Jules Oudmans, Florian Zurfluh
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AI for Sustainable Building Operations: Data-Driven Anomaly Detection in Ventilation Systems

Anahid Wachsenegger, Adam Buruzs, Anabel Dautović, Miloš Šipetić, Laura Bernadó, Pedro Casas
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AI-Driven PHM for Floating Offshore Wind Turbines: Review and Main Challenges

Son Hai Nguyen, T. P. Khanh Nguyen, Kamal Medjaher
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Addressing the Cold-Start Challenge in Building Predictive Maintenance: Translating Facility Manager Expertise into Criticality Indices

Edgar Segovia, Joao Patacas, Xiang Xie, Philip James, Sneha Verma, Mohamad Kassem
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Page 1-11

Anomaly Detection in Multivariate Industrial Signals: LLMs, TSFMs, or Classical Deep Learning

Allen Baranov, Sarah Alnegheimish, Alfredo Cuesta-Infante, Weizhong Yan, Masoud Abbaszadeh, Kalyan Veeramachaneni
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API-Based Integration Framework for Dual-LLM Prescriptive Maintenance Report Generation in PHM-Enabled Digital Twin Applications

Atuahene Barimah, Chimkakwo Owhor, Octavian Niculita, Don McGlinchey
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Page 1-9

Active Sim-to-Real Gap Reduction for Industrial Inspection via Digital Twin and Embedding Analysis

Huimin Zhuge, Xian Yeow Lee, Gregory Sin, Raheem Ahmed, Lasitha Vidyaratne, Aman Kumar, Ahmed Farahat
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Aging States Estimation and Monitoring Strategies of Li-Ion Batteries Using Incremental Capacity Analysis and Gaussian Process Regression

Moritz Landwehr, Patrick Hoher, Johannes Reuter
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Analysis of fault-induced electromechanical disturbance effect in a closed-loop system

Urszula Jachymczyk, Paweł Knap, Krzysztof Lalik
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Bayesian Online Changepoint Detection Algorithm for Degradation Monitoring and Prognostics of Electrical Devices

Roman Mukin, Kai Hencken, Marco Cilibrasi
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Bayesian Post-Repair Prognostics for Reliable RUL Prediction

Mariana Salinas-Camus, Mary Patrick, John-Alan Pascoe, Nick Eleftheroglou
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Benchmarking Time-Series Anomaly Detection Algorithms for Photovoltaic Plants

Hannes Bradl, Katharina Hofer-Schmitz, Pasquale Grippa, Gernot Hofer
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Bifurcated Remaining Useful Life Prediction: A Hybrid Approach for Realistic Uncertainty Characterization

Xabier Belaunzaran, Antonio Nappa, Arkaitz Artetxe, Basilio Sierra
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Bridging Methods and Data in System-Level Prognostics: A Comprehensive Review

A. Madjid CHERGUI, Khanh T. P. NGUYEN, Kamal Medjaher
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Classification and Assessment of Propeller Faults in Electric Unmanned Aerial Vehicle Drive Trains

Immo Schmidt
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Comparative Evaluation of Prognostic Models for Medium-Term Pressure Prediction in Gas Transmission Units

Houda SARIH, Florent BRISSAUD, Khanh T. P. NGUYEN, Kamal MEDJAHER
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Contrastive, Autoencoding, and Variational Representations for Telemetry-Driven RUL Prediction

Mahmoud Rahat
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Cost-effective Inspection and Maintenance Rule for Train Control Beacons

Dersin Pierre, Maxime Lousth
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Cloud-Enabled Autoencoder-Based Anomaly Detection for Gas Turbine Faults

nima ameri, Will Jacobs, Felipe Montana-gonzalez, Oscar Mendoza, Visakan Kadirkamanathan, Philip Naylor, Andy Mills
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Cost-Efficient Prognostics Framework for Heliostat Drive Units

Dominik Steinberg, Stefan Nicolas Huestegge, Daniel Maldonado Quinto, Marc Roeger, Benedikt Koelsch, Robert Pitz-Paal
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Decision at First Sight: An Attention Network for Direct Maintenance Optimization from Sensor Data

mbadfar, Iman Kazemian, Ratna Babu Chinnam, Murat Yildirim
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Development of Bearing Fault Detection Models using Multibody Simulation Training Data

Luca Giraudo, Luigi Ganpio Di Maggio, Eugenio Brusa, Cristiana Delprete
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Page 1-8

Development of a hybrid PHM system for flight control actuators fusing data analytics with physical knowledge

Andrea De Martin, Sylvain Autin, Corentin Boitard, Nicolas Morizet, Roberto Guida, Antonio Carlo Bertolino, Giovanni Jacazio
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Page 1-12

Developing Generalized Health Index of Electric Vehicle Drivetrain

Kyung-Woo Lee, Youngrock Chung, Dae-Un Sung, Jeongmin Oh, Hyunseok Oh
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Diagnostics for Mechanical Systems with Unknown Fault Modes: A Novel Open Set Recognition Approach

Jiaxuan Song, Juseong Lee, Claudia Fecarotti, Geert-Jan van Houtum
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Direct and indirect Structural Health Monitoring of steel railway bridges: A state-of-the-art review and future challenges

Christos Sakaris, Zihao Liu, Mehrisadat Alamdari, Rune Schlanbusch
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Domain Adaptation of Automatic Speech Recognition Models for Diagnostic Applications

Aman Kumar, Ahmed Farahat, Huimin Zhuge, Chetan Gupta
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Dual-Threshold Maintenance Optimisation for Hydraulic Floodgates under Runaway Stochastic Degradation

Jack Lally, Sébastien Gigot, Jean-Marc Tacnet, Christophe Berenguer
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Early Fault Detection in Rotating Machinery via Multivariate Autoencoder-Based Indicator Fusion

Faras Jamil, Nikhil Sudhakaran, Xinrun Liu, Matthias Stammler, Asger Abrahamsen, Cédric Peeters, Jan Helsen
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Edge AI - Enabled Smart Sensors for Predictive Maintenance of Marine Vessels

Igor Makienko, Michael Grebshtein, Eli Gildish
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Page 1-9

Edge-Deployed Generative Language-Based Retrieval for Aerospace Asset Health Management

Lukmon Rasaq, Madhuri Siddula, Om Prakash Yadav, Rhonda Walthall, Joseph Ensberg, Piyush Yadav
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Edge-Server Collaborative System for Real-Time and In-Depth Damage Detection of Wind Turbine Blades using Acoustic Signals

Zhi Zhu, Yoshinao Sato
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Engine Health State Index (EHSI)

Rohit Deo, Aman Yadav, Shruti Bharti, Nilesh Powar
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Estimating the Battery State of Health with Quantified Aleatoric and Epistemic Uncertainty

Joshua Bogaert, ingeborg de Pater
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Estimating Spall Severity in Rolling Element Bearings: A Supervised Learning Approach With Naturally Progressing Spalls

Stephan Baggerohr, Cees Taal, Konstantinos Gryllias
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Evaluation of Input Presentation in Transfer Learning for Bearing Fault Detection

Amirhossein Berenji, Slawomir Nowaczyk, Zahra Taghiyarrenani, Sepideh Pashami
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Evaluation of Remaining Useful Life Prediction Algorithms in the Absence of Run-to-Failure Ground Truth Data

Indranil Roychoudhury, Prasham Sheth, Taoufik Wassar
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Evaluating the Impact of Data Partitioning and Client Selection on Federated Remaining Useful Life Prediction in Aviation

Faruk Ozdemir, Roy S. Kalawsky, Mohammed M. Mabkhot
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Failure-Mode-Informed Development of Remaining Useful Life Prognostics

Kiavash Fathi, Mihaela Mitici, Tobias Kleinert, Hans Wernher van de Venn
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Fault Diagnosis of Harmonic Reducers Used in Industrial Collaborative Robots via DWT, MB-FFT, EMD and Machine Learning Classifiers (RF, XGBoost, SVM and KNN)

Samuel Ayankoso, Huanqing Han, Hamidreza Fahham, Gareth Tucker, Helen Miao, Fengshou Gu
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Frequency-Domain Feature Analysis for Early Gear Damage Detection in Planetary Gearboxes

Lisa Binanzer, Martin Dazer
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From Machine Health to Elderly Health: A Sustainability-oriented Elderly-centric Social Robot System enabled by PHM

Deepti Mishra, Akshara Pande
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From MCU to Neuromorphic Chip: A Zero-Gradient Spiking-Compatible Engine for Cross-Domain Predictive Maintenance

Jianwei Lou
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From Sensor Data to Maintenance Actions: An Industrial PHM Application for UltrasonicWelding Assembly Machines

Francesco Cancelliere, Morena Ferrario
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Hybrid As-Operated Digital Twin of an Aircraft Brake

Vinayak Chandran, Vikram Paumarti, Stefano Sinisi, Roberta Cumbo, Bill May, Alessandro Ulisse
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Hybrid Detection for Heat Pump Contamination Using Physics-Informed Machine Learning

Ahmed Qarqour, Gernot Heisenberg, Sahil-Jai Arora, Drazen Martinovic
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Impact of Reactive Power Assumptions on Physics-Informed Assessment of Transformer Ageing in Distribution Networks

Junyi Lu, Blair Brown, Qiteng Hong, Campbell Booth, Bruce Stephen
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Improved State of Health Assessment for Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy Measurements

Gabriele Patrizi, Fabio Canzanella, Lorenzo Ciani
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Page 1-9

Integrating Deep Autoencoders and Bayesian Inference for Diagnostics and Health Management of Industrial Inkjet Systems

Gianluca Nicchiotti, Noé Repond
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Interpretable Operational Regime Classification for a Wind Turbine PHM Digital Twin Architecture

Gard Indrekvam, Maneesh Singh, Anne-Lena Kampen, Mayank Shekhar Jha
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Integrating Survival-Based Aging Models with Data-Driven RUL Prognostics

Abishek Srinivasan, Juan Carlos Andresen, Sepideh Pashami, Anders Holst
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Learning the Language of Vibration: A Self-Supervised Transformer Foundation Model for PHM

Giuseppe Mannone, Paula Fischer, Martin Dazer
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Leveraging Time Series Foundation Models Embeddings for Remaining Useful Life Prediction

Ilias ABDOUNI, Alexandre VOISIN, Christophe CERISARA
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Leakage-Safe, Reproducible Benchmarking for Vibration-Based Fault Diagnosis

Pawel Knap, Urszula Jachymczyk, Krzysztof Lalik
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Load-Aware Stochastic Degradation Modeling and Lifetime Characterization for PEM Fuel Cells

Mouhamad Houjayrie, Catherine Cadet, Christophe Bérenguer
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Lubrication Condition Assessment of Planetary Roller Screw under Varying Operating Parameters

Zhichao Dong, Yixiang Huang, Pengcheng Xia, Shidong Zhang, Chengliang Liu
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Maintenance Planning for Prognostic Health Management of Multi-Component Systems: A Case Study of Multi-Objective Optimisation for Railway Vehicles

Bernd Wagner, Sofoklis Kitharidis, Furong Ye, Thomas Bäck, Niki van Stein
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Manufacturing Quality–Informed Prognostics: A Novel Approach to Past Uncertainty Management

Benjamin Brito Schiele, Julie Teuwen, Nick Eleftheroglou
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Meets Expectations: System Health Analysis and Prognosis for Embedded and Cyber-physical AI

Michael Borth, Christian Tiemann, Leonardo Barbini
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Page 1-8

Monitoring Model Drift in Feedback-Controlled Systems via Efficacy and Efficiency Metrics

Leonardo Baldo, Ferhat Tamssaouet, Jorge F. Silva, Marcos E. Orchard
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Ontology-Based Graph Transformer Network for Robust Bearing Fault Diagnosis under Unseen Operating Conditions

Yong Hun Park, Seo Won Lee, Chan Hee Park, Joon Ha Jung
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Ontology-Grounded Large Language Models for Reliable Querying of Wind Turbine Inspection Knowledge

Louis Verstraeten, Xavier Chesterman, Jan Helsen, Ann Nowé
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Particle Filter-based Degradation Modeling and SOH Prediction for Lithium-ion Batteries of Autonomous Systems

Donghoon Seo, Taegyun Kim, Yeonghyeon Mo, Jongho Shin, Seungkeun Kim
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Page 1-7

Physics Based and Data Driven Anomaly Detection Methods Using Vibration Data for Early Gear Damage Detection in Planetary Gearboxes

Lukas Merkle, Martin Dazer
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Physics-Informed Domain Generalization for Bearing Prognostics Under Unseen Operating Conditions

Ali Hosseinli, Konstantinos Gryllias
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Physics-Informed Machine Learning-Assisted State Estimation for Degrading System Considering Sensor Degradation Impacts

Trung-Thanh N. Thai, Phuc Do, Benoit Iung
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Physics-Constrained Deep Learning for Interpretable Anomaly Detection in Large Battery Packs with Limited Monitoring Granularity

Antoni Plonczak, Matthias Wüest, Lilach Goren Huber
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PHM Framework for Discrete IGBTs in EV Applications: A PoF-Based Approach with a State-of-Damage Metric

JuHwan Kim, Junseop Lee, Changwoon Han
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Predictive Analysis for Safe and Optimal Operation of the CoBra High-Temperature Heat Pump

Jina Yoo, Saskia Bublitz
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Page 1-9

Prescriptive Maintenance through Workload Allocation for Synchronizing Parallel Machines

Sacha Todoskoff, Bruno Castanier, Niclas Bjorsell, T. Sunil Kumar, Sylvain Verron
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Prognosis of Mission-Aware Remaining Useful Life for ROV Thrusters Using a Physics-Consistent Simulation Framework

George K. Fourlas, George C. Karras
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Physics-Informed Virtual Sensing for Isentropic Efficiency: Enabling Sensor Reduction in Heat Pumps

Savvas Eftychis, Sławomir Nowaczyk, Klas Berglöf, Metkel Yebiyo, Sepideh Pashami
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Page 1-11

Quantifying Reliability and Resilience in Interdependent Infrastructure Networks

Risat Rimi Chowdhury, Om Prakash Yadav, Maneesh Singh, Shah M Limon
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Quantum-Aided Bayesian Learning for the Prediction and Uncertainty Quantification of Remaining Useful Life

Giorgio Tosti Balducci, Nick Eleftheroglou
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Reducing Negative Transfer in Domain Adaptation for Vibration Fault Diagnosis

Pawel Knap, Urszula Jachymczyk
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Reliability Analysis of Rolling Bearings Using a Weighted Nonlinear Mixed-Effects Degradation Model

HUNG-TSE HSU, CHENG-JYUN SHIH
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Remaining Useful Life Prediction Using Constraint Guided Learning with Limited Physical Knowledge

Ilyas Lemmens, Wout Rombouts, Quinten Van Baelen, Peter Karsmakers, Mathias Verbeke
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Risk-Aware Optimization of Charging Time and Route Selection for Electric Vehicles Under Uncertainty

Jorge E. Garcia Bustos, Bruno Masserano, Ricardo Salas Espineira, Benjamın Brito Schiele, Leonardo Baldo, Vicente Pinochet, Francisco Jaramillo-Montoya, Heraldo Rozas, Aramis Perez, Marcos E. Orchard
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Robust Multi-Modal Hamilton-Jacobi Reachability Prognostics: An Application to Battery Health Management

Boutrous Khoury, Abdel Rahman El Khatib, Ghaleb Hoblos, Kokou Langueh, Eric Duviella, Jacques Boonaert
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Robust Anomaly Detection Under Contaminated Data: A Comprehensive Evaluation Across PHM Contexts

Stefano Donné, Mathias Verbeke, Jesse Davis, Bart De Clerck
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Robust Real-Time Thrust Fault Diagnosis for UAVs: A Physics-Informed Framework DecouplingWind Disturbances

Taegyun Kim, Seungkeun Kim
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RUL-Aware RRT*: Degradation-Balanced Motion Planning for Robotic Manipulators

Haibo LI, Zhiguo Zeng
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Scalable Model-Based Discrete Mode Estimation for a Lunar Rover Power System

Annabel Gomez, Zaki Hasnain, Michel D. Ingham, Seung H. Chung, Brian C. Williams
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Sensor Fault Detection via Virtual Smart Heat Metering with Spatial-Temporal Graph Neural Networks

Keivan Faghih Niresi, Olga Fink
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Simulation-Based Inference for the Amortized Determination of Physical Model Parameters of a Mechanical System for Diagnostics and Prognostics

Cedric Schenkel, Kai Hencken
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Page 1-10

Spatiotemporal Graph Neural Networks for Fault Detection and Structural Learning in Chemical Processes: Use Case on the Tennessee Eastman Process

Rayane AMMAR KHODJA, Alexandre VOISIN, Victor COSTA, Fanny CASTERAN, Benoit CELSE, Benoit IUNG
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Structural Representation Learning for Thermal Turbulence Detection in Infrared Imagery using YOLO

Akash Deep, Subhamoy Sen, Arvind keprate
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Strain-based condition monitoring of inner raceways of deep-groove ball bearings using FBG sensors

Fernando de la Hucha Arce, Damilare Samuel Ojo, Abhinit Hirde, Ted Ooijevaar, Francis Berghmans, Sidney Goossens
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Page 1-8

System-Level CBM/PBM Aggregation: A Unified Framework for Proactive and Reactive Metrics in Redundant Architectures

Franck DESSERTENNE
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Supervised and Unsupervised Methods for Detecting Anomalies in an Autonomous Long-Range Lunar Rover

Sofie Claridge, Jack Patterson, Zaki Hasnain, Ashish Goel, Katharine Patterson, Nicolas Rouquette, Caleb Wagner, Tristan Hasseler, Michel Ingham
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Time‑Series Retrieval for Grounding Multimodal Language Models in Remaining Useful Life Prediction

Valeriu Dimidov, Raphael Frank
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Through-Life Monitoring of Resource-constrained Systems and Fleets

Felipe Montana, Will Jacobs, Oscar Mendoza, Visakan Kadirkamanathan, Nima Ameri, Philip Naylor, Andy Mills
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Towards Green PHM: Adaptive Early Stopping for Sustainable Neural Architecture Search in Industrial Applications

David Solıs-Martın, Juan Galan-Paez, Joaquın Borrego-Dıaz
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Transformer-Based Architectures for Machinery Prognostics: A Review

Maxime Pierfederici, Mayank Shekhar Jha, Chetan Kulkarni, Didier Theilliol
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Page 1-13

Trolley-Assisted Charging for Full-Shift Operation of Battery-Electric Load-Haul-Dump in Underground Mining

Lukas Gleisner J., Diego Troncoso-Kurtovic, Ricardo Salas-Espiñeira, Jorge E. Garcıa Bustos, Bruno Masserano, Benjamín Brito Schiele, Francisco Jaramillo-Montoya, Heraldo Rozas, Ángela Flores-Quiroz, Luis F. Orellana, Jorge F. Silva, Gonzalo Monsalve, Gonzalo Ramírez, Marcos E. Orchard, Javier Ruiz-del-Solar
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Trustworthy Abnormality Detection from Welding Images Through Class-Conditional Conformal Learning and Bayesian Cost Minimization

Zhenling Chen, Zhiguo Zeng
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Turbofan Sensor-FDI-Bench: A Synthetic Dataset for Sensor Fault Detection & Isolation under Degradation and Operating Variability

Aytunc Yildirim, Martin Bolemant, Marvin Noethen
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Turbograd: An Open-source Differentiable Performance Model for Aeroengine Condition Monitoring

Daniel Cisneros Acevedo, Marta Ribeiro, Ingeborg de Pater, Manuel Arias Chao, Tim Rootliep
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Uncertainty-Aware Bearing Remaining Useful Life Prediction Based on Conformal Prediction

Shun Wang, Yolanda Vidal, Francesc Pozo
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Uncertainty-Aware Surrogate for Fatigue Assessment of Moorings in Offshore Wind Turbines

Rohit Kumar, Arvind Keprate, Subhamoy Sen
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Uncertainty-Aware and Risk-Controlled Identification of Abnormal Parametric Changes in Space Launcher Electrical Valve Actuators

Luis Basora, Julien Demange-Chryst, Sebastien Priotto, Mohammad Ghousein, Serge Le Gonidec
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Understanding the Impact of Temporal Aggregation on Uncertainty in Quality Indicator Prediction for Industrial Processes

Thanos Kontogiannis, Wanda Melfo, Dimitrios Zarouchas, Nick Eleftheroglou
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Vibration Analysis for Damage Detection and Classification for Condition Monitoring on Worm Gears

Philipp Häderle, Martin Dazer, Patric Schmitt
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Video Motion Magnification for Vibration Measurement in Hydropower Applications

Florian Fritzsche, Alexander Jung, Alexander Rubbert, Elisa Sanchez, Axel Busboom
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Virtual Temperature Sensors in Power Transformers Using Neural Ordinary Differential Equations

Berk Hadzhamolla, Alexander Johannes Stasik, Signe Riemer-Sørensen
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A Comprehensive Literature Review of State of Safety (SoS) for Maritime Battery Management Systems (BMSs)

Eric Aaslund, Shuai Wang, Knut Erik Knutsen
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Reinforcement Learning Control for Natural Circulation in a Marine Pressurised Water Reactor Cooling System

Felipe Montana, Will Jacobs, Visakan Kadirkamanathan, Gary Brooks, Andy Mills
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Shape of complexity

Manuel Guillermo Reta Palacios, Konstantin Holzhausen, Knut Erik Knutsen
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Data Challenge Papers

A Similarity-Based Ensemble Framework for Remaining Useful Life Prediction of a Subway Door System

Kai-Lin Yang, Dai-Yan Ji, Yung-Hui Li
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Agentic AI for PHM Pipeline Development: A Human-Supervised Case Study in the PHME 2026 Data Challenge

Takanobu Minami, Jay Lee
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Gated Residual End-of-Life Prediction for Variable-Prefix RUL in the PHME2026 Data Challenge

Giuseppe Mannone, Tim Herrmann, Martin Dazer
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Posters

A Context-Aware Edge-Cloud Multi‑Agent PHM Framework for Multi‑Tool CNC Turning Machines Using a Single Vibration Sensor

BK Ramesh, Shweta S, Rachana Sreedhar
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Cost-Sensitive Deep Learning for Scania Component X: Minimising Operational Cost via Asymmetric Threshold Optimisation

Abdelhakim Mraihi, Valeriu Dimidov, Raoof Doorshi, Reza Khoshkangini
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Designing a Prognostics Framework for Pharmaceutical Development: Applying PHM Principles to Computational Drug Discovery for Novel HIV-1 C(SA) Protease Inhibitors

Charmaine Kahiya, H.G Kruger, Glenn MacGuire, Gideon Tolufashe
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Hybrid Physics-Informed UKF–Transformer Framework for Lithium-Ion Battery SOH Estimation

Abdel Rahman EL KHATIB, Boutrous Khoury, Ghaleb Hoblos, Kokou Langueh, Eric Duviella, Jacques Boonaert
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Methodology for Estimating the Corrosion-Induced Degradation Trajectory of 304L Stainless Steel in Nitric Acid

Abdoulaye Affadine Haoua, Thibaud Henin, Flavien Peysson, Jean-Baptiste Leger
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Physics-Aided RUL Prediction of Pick-and-Place Robotic Arm Using Dynamic Simulation and GMM-Based Health Indicator

Mujin Kim, Sejun Park, Heoung-Jae Chun, Jongsoo Lee
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Prediction and simulation of battery pack usage for intelligent service robot deployment at a train station

Alexander Löwen, Enrique Aleman-Gallegos, Osarenren Kennedy Aimiyekagbon, Sven Wachsmuth, Walter Sextro
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Representation Learning–Based Fault Diagnosis of Angular Contact Ball Bearings for Machine Tool Spindles

Jooho Hwang, Dung Minh Nguyen, Sungjoon Kim
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Self-Powered Multi-Parameter Wireless Sensing for Condition Monitoring of Marine Propulsion Shafts

Van Ai Hoang, Yang Gon Kim, Young Chul Lee
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Doctoral Symposium

Causal Inference for Root Cause Analysis in Safety-Critical Engineering Systems

Evangelia Perivolaki, Steve King, Irene Moulitsas
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Health-Aware Load Allocation and Joint Energy--Maintenance Optimization for Multi-Stack PEM Fuel Cell Systems

Mouhamad Houjayrie, Catherine Cadet, Christophe Brérenguer
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Multi-Modal 3D Neural Representations for Scene Modeling: Towards Building Health Management and Energy Evaluation

Chenghao Xu, Malcolm Mielle, Olga Fink
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Progressive Physics-AI Hybrid Methodology for Unsupervised Anomaly Detection in Electromechanical Systems

Melvin FERNANDES NOVO, Augustin CATHIGNOL, benoit IUNG, Alexandre VOISIN, Phuc DO
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Physics-Informed Machine Learning for Robust Industrial Diagnostics: A Systematic Investigation Using Heat Pump Systems

Savvas Eftychis, Sławomir Nowaczyk, Sepideh Pashami
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Time-Varying Mesh Stiffness Modelling for Multi-Fault Spur and Helical Gear Diagnostics: An Integrated Analytical, Numerical, and Experimental Framework

Maruti, Konstantinos Gryllias
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Towards Early and Reliable Detection of Thermal Degradation in High-Precision Machine Tools via Hybrid Condition Monitoring

Darío Fernández, Lars Penter, Steffen Ihlenfeldt
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Toward Intelligent Prognostics and Health Management for Floating Offshore Wind Turbines

Son Hai Nguyen, Thi Phuong Khanh Nguyen, Kamal Medjaher
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