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

ISBN: 978-1-936263-40-0

Published: 2024-06-27

Proceedings Front Matter

Technical Papers

A Comparative Study of Semi-Supervised Anomaly Detection Methods for Machine Fault Detection

Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, Sunil Aryal
Abstract 644 | PDF Downloads 491

Page 10

A Computer Vision Deep Learning Tool for Automatic Recognition of Bearing Failure Modes

Stephan Baggerohr, Cees Taal, Sebastian Echeverri Restrepo, Mourad Chennaoui, Christine Matta
Abstract 560 | PDF Downloads 271

Page 5

A data-driven risk assessment approach for electronic boards used in oil well drilling operations

Delia-Elena Dumitru, Jinlong Kang, Alejandro Olid-Gonzalez, Ahmed Mosallam
Abstract 302 | PDF Downloads 210

Page 8

A Gear Health Indicator Based on f-AnoGAN

Hao Wen, Djordy Van Maele, Jean Carlos Poletto, Patrick De Baets, Konstantinos Gryllias
Abstract 348 | PDF Downloads 220

Page 12

A maturity framework for data driven maintenance

Chris Rijsdijk, Mike Van de Wijnckel, Tiedo Tinga
Abstract 1486 | PDF Downloads 530

A Novel Approach for Evaluating Datasets Similarities Based on Analytical Hierarchy Process in the Industrial PHM Context

Mohamed Aziz Zaghdoudi, Christophe Varnier, Sonia Hajri-Gabouj, Noureddine Zerhouni
Abstract 369 | PDF Downloads 200

Page 10

A Physics-Inspired and Data-Driven Approach for Temperature-Based Condition Monitoring

Giacomo Garegnani, Kai Hencken, Frank Kassubek
Abstract 293 | PDF Downloads 256

Page 10

A Practical Example of Applying Machine Learning to a Real Turbofan Engine Issue: NEOP

Zdenek Hrncir, Chris Hickenbottom
Abstract 260 | PDF Downloads 207

Page 7

A Review of Prognostics and Health Management in Wind Turbine Components

Jokin Cuesta, Urko Leturiondo, Yolanda Vidal, Francesc Pozo
Abstract 376 | PDF Downloads 208

Page 15

A rolling bearing state evaluation method based on deep learning combined with Wiener process

Yuntian Ta, Tiantian Wang, Jingsong Xie, Jinsong Yang, Tongyang Pan
Abstract 269 | PDF Downloads 204

Page 8

A Semi-supervised Fault Diagnosis Method Based on Graph Convolution for Few-shot Fault Diagnosis

Yuyan Li, Tian Wang, Jingsong Xie
Abstract 229 | PDF Downloads 180

Page 8

A Study on the Equipment Data Collection and Developing Next Generation Integrated PHM System

DEOGHYEON KIM, Gun Sik Kim, Ung Ho Nam, Jin Woo Park
Abstract 301 | PDF Downloads 182

Page 7

Active learning for gear defect detection in gearboxes

Wenzhi Liao, Roeland De Geest
Abstract 412 | PDF Downloads 254

Page 10

Advancing Durability Testing in Automotive Component through Prognostics and Health Management (PHM) Integration

Jinwoo Song, Junggyu Choi, Jeongmin Shin, Seungyoon Oh, Seok Hyun Hong, Yun Jong Lee, Hae-Sung Yoon, Joo-Ho Choi
Abstract 394 | PDF Downloads 311

Page 6

Analytical Modeling of Health Indices for Prognostics and Health Management

Pierre Dersin, Kristupas Bajarunas, Manuel Arias-Chao
Abstract 395 | PDF Downloads 280

Page 11

Anomaly Detection of a Cooling Water Pump of a Power Plant Based on its Virtual Digital Twin Constructed with Deep Learning Techniques

Miguel A. Sanz-Bobi, Sarah Orbach, F. Javier Bellido-López, Antonio Muñoz, Daniel González-Calvo, Tomás Álvarez-Tejedor
Abstract 353 | PDF Downloads 261

Page 9

Page 12

Automated Fault Diagnosis Using Maximal Overlap Discret Wavelet Packet Transform and Principal Components Analysis

Fawzi Gougam, Moncef Soualhi, Abdenour Soualhi, Adel Afia, Walid Touzout, Mohamed Abdssamed Aitchikh
Abstract 401 | PDF Downloads 312

Page 7

Bayesian Networks for Remaining Useful Life Prediction

Erik Hostens, Kerem Eryilmaz, Merijn Vangilbergen, Ted Ooijevaar
Abstract 498 | PDF Downloads 346

Page 11

Characterizing Damage in Wind Turbine Mooring Using a Data-Driven Predictor Model within a Particle Filtering Estimation Framework

Rohit Kumar, Ananay Thakur, Shereena O A, Arvind Keprate, Subhamoy Sen
Abstract 310 | PDF Downloads 191

Page 8

Comparison among Machine Learning Models Applied in Lithiumion Battery Internal Short Circuit Detection

ZiHong Zhang, Mikel Arrinda, Jon Perez
Abstract 297 | PDF Downloads 221

Page 10

Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditions

HAN SUN, Kevin Ammann, Stylianos Giannoulakis, Olga Fink
Abstract 334 | PDF Downloads 239

Page 11

Contrastive Metric Learning Loss-Enhanced Multi-Layer Perceptron for Sequentially Appearing Clusters in Acoustic Emission Data Streams

Oualid Laiadi, Ikram Remadna, El yamine Dris, Redouane Drai, Sadek Labib Terrissa, Noureddine Zerhouni
Abstract 426 | PDF Downloads 217

Page 10

Counterfactual Explanation for Auto-Encoder Based Time-Series Anomaly Detection

Abishek Srinivasan, Varun, Juan Carlos Andresen, Anders Holst
Abstract 355 | PDF Downloads 229

Page 9

Damage Detection using Machine Learning for PHM in Gearbox Applications

Lisa Binanzer, Tobias Schmid, Lukas Merkle, Martin Dazer
Abstract 358 | PDF Downloads 212

Page 12

Data Scarcity in Fault Detection for Solar Tracking Systems: the Power of Physics-Informed Artificial Intelligence

Mila Francesca Lüscher, Jannik Zgraggen, Yuyan Guo, Antonio Notaristefano, Lilach Goren Huber
Abstract 323 | PDF Downloads 219

Page 8

Data-Driven Prognostics with Multi-Layer Perceptron Particle Filter: a Cross-Industry Exploration

Francesco Cancelliere, Sylvain Girard, Jean-Marc Bourinet
Abstract 260 | PDF Downloads 178

Page 8

Data-Driven Remaining Useful Life Estimation Approach for Neutron Generators in Multifunction Logging-While-Drilling Service

Karolina Sobczak-Oramus, Ahmed Mosallam, Nannan Shen, Fares Ben Youssef
Abstract 266 | PDF Downloads 179

Defect Data Augmentation Method for Robust Image-based Product Inspection

Youngwoon Choi, Hyunseok Lee, Sang Won Lee
Abstract 319 | PDF Downloads 321

Page 8

Detection of Abnormal Conditions in Electro-Mechanical Actuators by Physics-Informed Long Short-term Memory Networks

Chenyang Lai, Piero Baraldi, Gaetano Quattrocchi, Matteo Davide Lorenzo Dalla Vedova, Leonardo Baldo, Matteo Bertone, Enrico Zio
Abstract 388 | PDF Downloads 207

Page 8

Development of a Feature Extraction Methodology for Prognostic Tasks of Aerospace Structures and Systems

Antonio Orru, Thanos Kontogiannis, Francesco Falcetelli, Raffaella Di Sante, Nick Eleftheroglou
Abstract 338 | PDF Downloads 196

Page 11

Development of a PHM system for electrically actuated brakes of a smallpassenger aircraft

Andrea De Martin, Riccardo Achille, Antonio Carlo Bertolino, Giovanni Jacazio, Massimo Sorli
Abstract 260 | PDF Downloads 168

Page 12

Development of Anomaly Detection Technology Applicable to Various Equipment Groups in Smart Factory

KIWON PARK, Myoung Gyo Lee, Sung Yong Cho, Yoon Jang, Young Tae Choi
Abstract 465 | PDF Downloads 324

Page 12

Development of Fault Diagnosis Model based on Semi-supervised Autoencoder

Yongjae Jeon, Kyumin Kim, Yelim Lee, Byeong Kwon Kang, Sang Won Lee
Abstract 221 | PDF Downloads 144

Page 7

DiffPhysiNet: A Bearing Diagnostic Framework Based on Physics-Driven Diffusion Network for Unseen Working Conditions

Zhinbin Guo, Jingsong Xie, Tongyang Pan, Tiantian Wang
Abstract 351 | PDF Downloads 262

Page 10

Domain Adaptation for Fault Detection in Civil Nuclear Plants

Henry Wood, Felipe Montana, Visakan Kadirkamanathan, Andy Mills, Will Jacobs
Abstract 286 | PDF Downloads 139

Page 11

Domain Adaptation via Simulation Parameter and Data Perturbation for Predictive Maintenance

Kiavash Fathi, Fabio Corradini, Marcin Sadurski, Marco Silvestri, Marko Ristin, Afrooz Laghaei, Davide Valtorta, Tobias Kleinert, Hans Wernher van de Venn
Abstract 358 | PDF Downloads 208

Page 11

Dynamic Modeling of Distributed Wear-Like Faults in Spur Gears: Simplified Approach with Experimental Validation

Lior Bachar, Roee Cohen, Omri Matania, Jacob Bortman
Abstract 276 | PDF Downloads 210

Page 7

Enhanced Diagnostics Empowered by Improved Mechanical Vibration Component Extraction in Nonstationary Regimes

Fadi Karkafi, Jérôme Antoni, Quentin Leclère, Mahsa Yazdanianasr, Konstantinos Gryllias, Mohammed El Badaoui
Abstract 343 | PDF Downloads 191

Page 10

Enhancing gearbox condition monitoring using randomized singular value decomposition and K-nearest neighbor

Adel Afia, Mocnef Soualhi, Fawzi Gougam, Walid Touzout , Abdassamad Ait-Chikh, Mounir Meloussi
Abstract 289 | PDF Downloads 199

Page 7

Enhancing Lithium-ion Battery Safety: Analysis and Detection of Internal Short Circuit basing on an Electrochemical-Thermal Modeling

YIQI JIA, LORENZO BRANCATO, MARCO GIGLIO, FRANCESCO CADINI
Abstract 340 | PDF Downloads 148

Page 7

Enhancing Lithium-Ion Battery State-of-Charge Estimation Across Battery Types via Unsupervised Domain Adaptation

Mohammad Badfar, Ratna Babu Chinnam, Murat Yildirim
Abstract 371 | PDF Downloads 162

Page 8

False alarm reduction in railway track quality inspections using machine learning

Isidro Durazo-Cardenas, Bernadin Namoano, Andrew Starr, Ram Dilip Sala, Jichao Lai
Abstract 300 | PDF Downloads 237

Page 8

Fault Diagnosis of Multiple Components in Complex Mechanical System Using Remote Sensor

Jeongmin Oh, Hyunseok Oh, Yong Hyun Ryu, Kyung-Woo Lee, Dae-Un Sung
Abstract 191 | PDF Downloads 176

Page 9

From Prediction to Prescription: Large Language Model Agent for Context-Aware Maintenance Decision Support

HAOXUAN DENG, Bernadin Namoano, BOHAO ZHENG, Samir Khan, John Ahmet Erkoyuncu
Abstract 475 | PDF Downloads 276

Page 10

Health-aware Control for Health Management of Lithium-ion Battery in a V2G Scenario

Monica Spinola Felix, John J. Martinez-Molina, Christophe Bérenguer, Chetan S. Kulkarni, Marcos E. Orchard
Abstract 303 | PDF Downloads 180

Page 10

Human-Centric PHM in the Era of Industry 5.0

Parul Khanna, Jaya Kumari, Ramin Karim
Abstract 349 | PDF Downloads 291

Page 7

Hybrid AI-Subject Matter Expert Solution for Evaluating the Health Index of Oil Distribution Transformers

Augustin Cathignol, Victor Thuillie-Demont, Ludovica Baldi, Laurent Micheau, Jean-Pierre Petitpretre, Amelle Ouberehil
Abstract 283 | PDF Downloads 199

Page 8

Hybrid Prognostics for Aircraft Fuel System: An Approach to Forecasting the Future

Shuai Fu, Nicolas P. Avdelidis
Abstract 710 | PDF Downloads 511

Page 9

Integrating Network Theory and SHAP Analysis for Enhanced RUL Prediction in Aeronautics

Yazan Alomari, Marcia Baptista, Mátyás Andó
Abstract 380 | PDF Downloads 149

Page 15

Labeling Algorithm for Outer-Race Faults in Bearings Based on Load Signal

Tal Bublil, Cees Taal, Bert Maljaars, Renata Klein, Jacob Bortman
Abstract 213 | PDF Downloads 164

Page 7

Landing Gear Health Assessment: Synergising Flight Data Analysis with Theoretical Prognostics in a Hybrid Assessment Approach

Haroun El Mir, Stephen King, Martin Skote, Mushfiqul Alam, Simon Place
Abstract 491 | PDF Downloads 385

Page 10

Large Language Model-based Chatbot for Improving Human-Centricity in Maintenance Planning and Operations

Linus Kohl, Sarah Eschenbacher, Philipp Besinger, Fazel Ansari
Abstract 945 | PDF Downloads 471

Page 12

Leveraging Generative and Probabilistic Models for Diagnostics of Cyber-Physical Systems

Alvaro Piedrafita, Leonardo Barbini
Abstract 250 | PDF Downloads 161

Page 7

LSTM and Transformers based methods for Remaining Useful Life Prediction considering Censored Data

Jean-Pierre NOOT, Etienne BIRMELE, François REY
Abstract 700 | PDF Downloads 348

Page 10

Maintenance decision-making model for gas turbine engine components

Hongseok Kim, Do-Nyun Kim
Abstract 204 | PDF Downloads 205

Page 7

Maintenance Strategies for Sewer Pipes with Multi-State Degradation and Deep Reinforcement Learning

Lisandro Arturo Jimenez-Roa, Thiago D. Simão, Zaharah Bukhsh, Tiedo Tinga, Hajo Molegraaf, Nils Jansen, Marielle Stoelinga
Abstract 772 | PDF Downloads 348

Page 14

Model-based Probabilistic Diagnosis in Large Cyberphysical Systems

Peter J.F. Lucas, Giso Dal, Arjen Hommersom, Guus Grievink
Abstract 275 | PDF Downloads 202

Page 12

MOXAI – Manufacturing Optimization through Model-Agnostic Explainable AI and Data-Driven Process Tuning

Clemens Heistracher, Anahid Wachsenegger, Axel Weißenfeld, Pedro Casas
Abstract 399 | PDF Downloads 199

Page 7

NLP-Based Fault Detection Method for Multifunction Logging-While-Drilling Services

Corina Panait, Nahieli Vasquez, Ahmed Mosallam, Hassan Mansoor, Anup Arun Yadav, Fares Ben Youssef, Qian Su, Olexiy Kyrgyzov
Abstract 286 | PDF Downloads 254

Noise-aware AI methods for robust acoustic monitoring of bearings in industrial machines

Kerem Eryilmaz, Fernando de la Hucha Arce, Jeroen Zegers, Ted Ooijevaar
Abstract 369 | PDF Downloads 144

Page 10

On the Feasibility of Condition Monitoring of Belt Splices in Belt Conveyor Systems Using IoT Devices*

Henrik Lindström, Johan Öhman, Vanessa Meulenberg, Reiner Gnauert, Claus Weimann, Wolfgang Birk
Abstract 187 | PDF Downloads 164

Page 7

Particle Filter Approach for Prognostics Using Exact Static Parameter Estimation and Consistent Prediction

Kai Hencken, Arthur Serres, Giacomo Garegnani
Abstract 250 | PDF Downloads 141

Page 10

PHM for Spacecraft Propulsion Systems: Developing Resilient Models for Real-World Challenges

Takanobu Minami, Dai-Yan Ji, Jay Lee
Abstract 262 | PDF Downloads 181

Page 7

Probabilistic Uncertainty-Aware Decision Fusion of Neural Network for Bearing Fault Diagnosis

Atabak mostafavi, Mohammad Siami, Andreas Friedmann, Tomasz Barszcz, Radoslaw Zimroz
Abstract 426 | PDF Downloads 252

Page 10

Remaining Useful Lifetime Estimation of Bearings Operating under Time-Varying Conditions

Alireza Javanmardi, Osarenren Kennedy Aimiyekagbon, Amelie Bender, James Kuria Kimotho, Walter Sextro, Eyke Hüllermeier
Abstract 508 | PDF Downloads 379

Page 9

Residual Selection for Observer-Based Fault Detection and Isolation in a Multi-Engine Propulsion Cluster

Renato Murata, Julien Marzat, Hélène Piet-Lahanier, Sandra Boujnah, Pierre Belleoud
Abstract 202 | PDF Downloads 157

Page 9

Robust Remaining Useful Life Prediction Using Jacobian Feature Regression-Based Model Adaptation

Prasham Sheth, Indranil Roychoudhury
Abstract 318 | PDF Downloads 178

Page 11

Simulation-based remaining useful life prediction of rolling element bearings under varying operating conditions

Seyed Ali Hosseinli, Ted Ooijevaar, Konstantinos Gryllias
Abstract 495 | PDF Downloads 298

Page 12

Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation

Manuel Sathyajith Mathew, Surya Teja Kandukuri, Christian W Omlin
Abstract 256 | PDF Downloads 175

Page 9

State-of-Charge and State-of-Health Estimation for Li-Ion Batteries of Hybrid Electric Vehicles under Deep Degradation

Hyunjoon Lee, Min Young Yoo, Joo-Ho Choi, Woosuk Sung, Jae Sung Heo
Abstract 231 | PDF Downloads 259

Page 10

Page 14

SurvLoss: A New Survival Loss Function for Neural Networks to Process Censored Data

Mahmoud Rahat, Zahra Kharazian
Abstract 955 | PDF Downloads 575

Page 7

System-level Probabilistic Remaining Useful Life Prognostics and Predictive Inspection Planning for Wind Turbines

Davide Manna, Mihaela Mitici, Matteo Davide Lorenzo Dalla Vedova
Abstract 448 | PDF Downloads 270

Page 13

Testing Topological Data Analysis for Condition Monitoring of Wind Turbines

Simone Casolo, Alexander Stasik, Zhenyou Zhang, Signe Riemer-Sørensen
Abstract 489 | PDF Downloads 296

Page 10

Test-Training Leakage in Evaluation of Machine Learning Algorithms for Condition-Based Maintenance

Omri Matania, Roee Cohen, Eric Bechhoefer, Jacob Bortman
Abstract 556 | PDF Downloads 229

Page 13

Timeseries Feature Extraction for Dataset Creation in Prognostic Health Management

Thanos Kontogiannis, Wanda Melfo, Nick Eleftheroglou, Dimitrios Zarouchas
Abstract 348 | PDF Downloads 184

Page 13

Towards a Hybrid Framework for Prognostics with Limited Run-to-Failure Data

Luc S. Keizers, Richard Loendersloot, Tiedo Tinga
Abstract 322 | PDF Downloads 163

Page 12

Towards a Probabilistic Fusion Approach for Robust Battery Prognostics

Jokin Alcibar, Jose I. Aizpurua, Ekhi Zugasti
Abstract 282 | PDF Downloads 188

Page 13

Towards Efficient Operation and Maintenance of Wind Farms: Leveraging AI for Minimizing Human Error

Arvind Keprate, Stine Kilskar, Pete Andrews
Abstract 250 | PDF Downloads 183

Page 9

Towards Physics-Informed PHM for Multi-component degradation (MCD) in complex systems

Atuahene Barimah, Octavian Niculita , Don McGlinchey, Andrew Cowell, Billy Milligan
Abstract 369 | PDF Downloads 215

Page 14

Ultrafast laser damaging of ball bearings for the condition monitoring of a fleet of linear motors

Abdul Jabbar, Manuel Mazzonetto, Leonardo Orazi, Marco Cocconcelli
Abstract 193 | PDF Downloads 97

Page 10

Uncertainty in Aircraft Turbofan Engine Prognostics on the C-MAPSS Dataset

Mariana Salinas-Camus, Nick Eleftheroglou
Abstract 670 | PDF Downloads 356

Page 10

Unsupervised Learning for Bearing Fault Identification with Vibration Data

Gianluca Nicchiotti, Idris Cherif, Sebastien Kuenlin
Abstract 249 | PDF Downloads 203

Page 9

Virtual Sensor for Real-Time Bearing Load Prediction Using Heterogeneous Temporal Graph Neural Networks

Mengjie Zhao, Cees Taal, Stephan Baggerohr, Olga Fink
Abstract 634 | PDF Downloads 284

Page 8

Posters

A novel prognostics solution for accurate identification of degradation patterns in turbo machines with variable observation window

Carmine Allegorico, Gabriele Mordacci, Aidil Fazlina Hasbullah, Fahzziramika Nadia Jaafar Nadia Jaafar, Carmine Allegorico, Gionata Ruggiero
Abstract 214 | PDF Downloads 324

Feature Selection Method for Gear Health Indicator Using MIC Ranking

Hongliang Song, Hongli Gao, Ruiyang Zhou, Jianing He, Mengfan Chen
Abstract 251 | PDF Downloads 157

Page 8

Filter-based feature selection for prognostics incorporating cross correlations and failure thresholds

Alexander Loewen, Peter Wissbrock, Amelie Bender, Walter Sextro
Abstract 489 | PDF Downloads 295

Page 10

Integrated design of negative stiffness honeycomb structures considering performance and operational degradation

Hyeong-Do Kim, Taemin Noh, Young-Jin Kang, Nam-Ho Kim, Yoojeong Noh
Abstract 276 | PDF Downloads 203

Page 12

Model-Based Loads Observer Approach for Landing Gear Remaining Useful Life Prediction

Jonathan Jobmann, Frank Thielecke
Abstract 251 | PDF Downloads 163

Page 11

Process Quality Monitoring Through a LSTM Network Derived from a Rule-Based Approach

Andreas Bernroitner, Roland Eckerstorfer
Abstract 145 | PDF Downloads 85

Page 9

Threshold Selection for Classification Models in Prognostics

Rohit Deo, Swarali Desai, Subhalakshmi Behra, Chetan Pulate, Aman Yadav, Nilesh Powar
Abstract 636 | PDF Downloads 577

Doctoral Symposium

Design Of Digital Twins for In-Service Support and Maintenance

Atuahene Barimah
Abstract 503 | PDF Downloads 343

Page 4

Page 4

Generating Realistic Failure Data for Predictive Maintenance: A Simulation and cGAN-based Methodology

Felix Waldhauser, Hamza Boukabache, Daniel Perrin, Martin Dazer
Abstract 277 | PDF Downloads 226

Page 4

Machinery Fault Detection using Advanced Machine Learning Techniques

Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, Sunil Aryal
Abstract 584 | PDF Downloads 421

Page 4

Natural Language Processing for Risk, Resilience, and Reliability

Jean Meunier-Pion
Abstract 393 | PDF Downloads 237

Page 4

Prognostics of Remaining Useful Life for Aviation Structures Considering Imperfect Repairs

Mariana Salinas, Nick Eleftheroglou, Dimitrios Zarouchas
Abstract 254 | PDF Downloads 195

Trustworthy Machine Learning Operations for Predictive Maintenance Solutions

Kiavash Fathi, Tobias Kleinert, Hans Wernher van de Venn
Abstract 350 | PDF Downloads 197

Page 4