Vol. 8 No. 1 (2024): Proceedings of the European Conference of the PHM Society 2024

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 56 | PDF Downloads 56 | DOI https://doi.org/10.36001/phme.2024.v8i1.4053

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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 46 | PDF Downloads 37 | DOI https://doi.org/10.36001/phme.2024.v8i1.4090

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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 7 | PDF Downloads 2 | DOI https://doi.org/10.36001/phme.2024.v8i1.4054

Page 8

A Gear Health Indicator Based on f-AnoGAN

Hao Wen, Djordy Van Maele, Jean Carlos Poletto, Patrick De Baets, Konstantinos Gryllias
Abstract 17 | PDF Downloads 15 | DOI https://doi.org/10.36001/phme.2024.v8i1.4046

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A maturity framework for data driven maintenance

Chris Rijsdijk, Mike Van de Wijnckel, Tiedo Tinga
Abstract 62 | PDF Downloads 41 | DOI https://doi.org/10.36001/phme.2024.v8i1.4039

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 26 | PDF Downloads 14 | DOI https://doi.org/10.36001/phme.2024.v8i1.4036

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A Review of Prognostics and Health Management in Wind Turbine Components

Jokin Cuesta, Urko Leturiondo, Yolanda Vidal, Francesc Pozo
Abstract 21 | PDF Downloads 13 | DOI https://doi.org/10.36001/phme.2024.v8i1.4093

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 14 | PDF Downloads 15 | DOI https://doi.org/10.36001/phme.2024.v8i1.4095

Page 8

Active learning for gear defect detection in gearboxes

Wenzhi Liao, Roeland De Geest
Abstract 14 | PDF Downloads 21 | DOI https://doi.org/10.36001/phme.2024.v8i1.4050

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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 50 | PDF Downloads 46 | DOI https://doi.org/10.36001/phme.2024.v8i1.4089

Page 6

Analytical Modeling of Health Indices for Prognostics and Health Management

Dr.Pierre Dersin, Kristupas Bajarunas, Dr. Manuel Arias-Chao
Abstract 23 | PDF Downloads 20 | DOI https://doi.org/10.36001/phme.2024.v8i1.4083

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 24 | PDF Downloads 28 | DOI https://doi.org/10.36001/phme.2024.v8i1.4004

Page 9

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 50 | PDF Downloads 49 | DOI https://doi.org/10.36001/phme.2024.v8i1.4109

Page 7

Bayesian Networks for Remaining Useful Life Prediction

Erik Hostens, Kerem Eryilmaz, Merijn Vangilbergen, Ted Ooijevaar
Abstract 57 | PDF Downloads 63 | DOI https://doi.org/10.36001/phme.2024.v8i1.4019

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 37 | PDF Downloads 43 | DOI https://doi.org/10.36001/phme.2024.v8i1.4134

Page 10

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

Abishek Srinivasan, Varun, Juan Carlos Andresen, Anders Holst
Abstract 11 | PDF Downloads 13 | DOI https://doi.org/10.36001/phme.2024.v8i1.4087

Page 9

Damage Detection using Machine Learning for PHM in Gearbox Applications

Lisa Binanzer, Tobias Schmid, Lukas Merkle, Martin Dazer
Abstract 21 | PDF Downloads 22 | DOI https://doi.org/10.36001/phme.2024.v8i1.4062

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 14 | PDF Downloads 11 | DOI https://doi.org/10.36001/phme.2024.v8i1.4059

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Defect Data Augmentation Method for Robust Image-based Product Inspection

Youngwoon Choi, Hyunseok Lee, Sang Won Lee
Abstract 37 | PDF Downloads 34 | DOI https://doi.org/10.36001/phme.2024.v8i1.4068

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 15 | PDF Downloads 16 | DOI https://doi.org/10.36001/phme.2024.v8i1.4018

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 25 | PDF Downloads 16 | DOI https://doi.org/10.36001/phme.2024.v8i1.3982

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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 14 | PDF Downloads 15 | DOI https://doi.org/10.36001/phme.2024.v8i1.4002

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 41 | PDF Downloads 44 | DOI https://doi.org/10.36001/phme.2024.v8i1.4037

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 12 | PDF Downloads 13 | DOI https://doi.org/10.36001/phme.2024.v8i1.4023

Page 7

Domain Adaptation for Fault Detection in Civil Nuclear Plants

Henry Wood, Felipe Montana, Visakan Kadirkamanathan, Andy Mills, Will Jacobs
Abstract 9 | PDF Downloads 8 | DOI https://doi.org/10.36001/phme.2024.v8i1.4076

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 7 | | DOI https://doi.org/10.36001/phme.2024.v8i1.3985

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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 16 | PDF Downloads 10 | DOI https://doi.org/10.36001/phme.2024.v8i1.3984

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 44 | PDF Downloads 46 | DOI https://doi.org/10.36001/phme.2024.v8i1.4108

Page 7

False alarm reduction in railway track quality inspections using machine learning

Isidro Durazo-Cardenas, Bernadin Namoano, Andrew Starr, Ram Dilip Sala, Jichao Lai
Abstract 45 | PDF Downloads 41 | DOI https://doi.org/10.36001/phme.2024.v8i1.4113

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 11 | PDF Downloads 10 | DOI https://doi.org/10.36001/phme.2024.v8i1.3999

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 6 | PDF Downloads 17 | DOI https://doi.org/10.36001/phme.2024.v8i1.4114

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 9 | PDF Downloads 7 | DOI https://doi.org/10.36001/phme.2024.v8i1.4086

Page 10

Human-Centric PHM in the Era of Industry 5.0

Parul Khanna, Jaya Kumari, Ramin Karim
Abstract 49 | PDF Downloads 49 | DOI https://doi.org/10.36001/phme.2024.v8i1.4121

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 16 | PDF Downloads 10 | DOI https://doi.org/10.36001/phme.2024.v8i1.4102

Page 8

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

Tal Bublil, Cees Taal, Bert Maljaars, Renata Klein, Jacob Bortman
Abstract 10 | PDF Downloads 10 | DOI https://doi.org/10.36001/phme.2024.v8i1.4092

Page 7

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

Linus Kohl, Sarah Eschenbacher, Philipp Besinger, Fazel Ansari
Abstract 26 | PDF Downloads 15 | DOI https://doi.org/10.36001/phme.2024.v8i1.4098

Page 12

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 42 | PDF Downloads 6 | DOI https://doi.org/10.36001/phme.2024.v8i1.4091

Page 14

Model-based Probabilistic Diagnosis in Large Cyberphysical Systems

Peter J.F. Lucas, Giso Dal, Arjen Hommersom, Guus Grievink
Abstract 46 | PDF Downloads 41 | DOI https://doi.org/10.36001/phme.2024.v8i1.4033

Page 12

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

Clemens Heistracher, Anahid Wachsenegger, Axel Weißenfeld, Pedro Casas
Abstract 7 | PDF Downloads 6 | DOI https://doi.org/10.36001/phme.2024.v8i1.4111

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 23 | PDF Downloads 12

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 17 | PDF Downloads 10 | DOI https://doi.org/10.36001/phme.2024.v8i1.4112

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 11 | PDF Downloads 12 | DOI https://doi.org/10.36001/phme.2024.v8i1.3990

Page 7

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

Kai Hencken, Arthur Serres, Giacomo Garegnani
Abstract 3 | PDF Downloads 4

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

atabak mostafavi, Mohammad Siami, Andreas Friedmann, Tomasz Barszcz, Radoslaw Zimroz
Abstract 8 | PDF Downloads 14 | DOI https://doi.org/10.36001/phme.2024.v8i1.4010

Page 10

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 8 | PDF Downloads 8 | DOI https://doi.org/10.36001/phme.2024.v8i1.4056

Page 9

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 41 | PDF Downloads 34 | DOI https://doi.org/10.36001/phme.2024.v8i1.4101

Page 9

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, Christian W Omlin
Abstract 16 | PDF Downloads 12 | DOI https://doi.org/10.36001/phme.2024.v8i1.4028

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

Mihaela Mitici, Davide Manna, Matteo Davide Lorenzo Dalla Vedova
Abstract 6 | PDF Downloads 4

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Testing Topological Data Analysis for Condition Monitoring of Wind Turbines

Simone Casolo, Alexander Stasik, Zhenyou Zhang, Signe Riemer-Sørensen
Abstract 8 | PDF Downloads 6 | DOI https://doi.org/10.36001/phme.2024.v8i1.4117

Page 10

Timeseries Feature Extraction for Dataset Creation in Prognostic Health Management

Thanos Kontogiannis, Wanda Melfo, Nick Eleftheroglou, Dimitrios Zarouchas
Abstract 15 | PDF Downloads 13 | DOI https://doi.org/10.36001/phme.2024.v8i1.3968

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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 6 | PDF Downloads 4 | DOI https://doi.org/10.36001/phme.2024.v8i1.4136

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

Luc S. Keizers, Richard Loendersloot, Tiedo Tinga
Abstract 8 | PDF Downloads 9 | DOI https://doi.org/10.36001/phme.2024.v8i1.4017

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

Atuahene Barimah, Octavian Niculita , Don McGlinchey, Andrew Cowell, Billy Milligan
Abstract 44 | PDF Downloads 15 | DOI https://doi.org/10.36001/phme.2024.v8i1.4099

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Towards a Probabilistic Fusion Approach for Robust Battery Prognostics

Jokin Alcibar, Jose I. Aizpurua, Ekhi Zugasti
Abstract 34 | PDF Downloads 37 | DOI https://doi.org/10.36001/phme.2024.v8i1.3981

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Unsupervised Learning for Bearing Fault Identification with Vibration Data

Gianluca Nicchiotti, Idris Cherif, Sebastien Kuenlin
Abstract 8 | PDF Downloads 10 | DOI https://doi.org/10.36001/phme.2024.v8i1.4047

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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 1 | PDF Downloads 7

Feature Selection Method for Gear Health Indicator Using MIC Ranking

Hongliang Song, Hongli Gao, Ruiyang Zhou, Jianing He, Mengfan Chen
Abstract 9 | PDF Downloads 10 | DOI https://doi.org/10.36001/phme.2024.v8i1.4031

Page 8

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

Alexander Loewen, Peter Wissbrock, Amelie Bender, Walter Sextro
Abstract 39 | PDF Downloads 39 | DOI https://doi.org/10.36001/phme.2024.v8i1.4075

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Threshold Selection for Classification Models in Prognostics

Rohit Deo, Swarali Desai, Subhalakshmi Behra, Chetan Pulate, Aman Yadav, Nilesh Powar
Abstract 171 | PDF Downloads 32 | DOI https://doi.org/10.36001/phme.2024.v8i1.4139

Doctoral Symposium

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

Felix Waldhauser, Hamza Boukabache, Daniel Perrin, Martin Dazer
Abstract 10 | PDF Downloads 9 | DOI https://doi.org/10.36001/phme.2024.v8i1.3951

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Machinery Fault Detection using Advanced Machine Learning Techniques

Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, Sunil Aryal
Abstract 44 | PDF Downloads 11 | DOI https://doi.org/10.36001/phme.2024.v8i1.3947

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Prognostics of Remaining Useful Life for Aviation Structures Considering Imperfect Repairs

Mariana Salinas, Nick Eleftheroglou, Dimitrios Zarouchas
Abstract 14 | PDF Downloads 16 | DOI https://doi.org/10.36001/phme.2024.v8i1.3955

Trustworthy Machine Learning Operations for Predictive Maintenance Solutions

Kiavash Fathi, Tobias Kleinert, Hans Wernher van de Venn
Abstract 18 | PDF Downloads 16 | DOI https://doi.org/10.36001/phme.2024.v8i1.3966

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