MOnItoRing of large scale complex technologicAl systems

Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning

Autori: Jenny Yang, Andrew A. S. Soltan, David W. Eyre, David A. Clifton
Pubblicato in: Nature Machine Intelligence, Numero 5, 2023, Pagina/e 884-894, ISSN 2522-5839
Editore: Springer Science and Business Media LLC
DOI: 10.1038/s42256-023-00697-3

Framework for stochastic modelling of long-term non-homogeneous data with non-Gaussian characteristics for machine condition prognosis

Autori: Wojciech Żuławiński; Katarzyna Maraj-Zygmąt; Hamid Shiri; Agnieszka Wyłomańska; Radosław Zimroz
Pubblicato in: Mechanical Systems and Signal Processing, Numero Volume 184, 1 February 2023, 2023, Pagina/e 1-24, ISSN 0888-3270
Editore: Academic Press
DOI: 10.1016/j.ymssp.2022.109677

Variable Projection Support Vector Machines and Some Applications Using Adaptive Hermite Expansions

Autori: Tamás Dózsa, Federico Deuschle, Bram Cornelis, Péter Kovács
Pubblicato in: International Journal of Neural Systems, Numero Vol34 no1, 2023, ISSN 0129-0657
Editore: World Scientific Publishing Co
DOI: 10.1142/s0129065724500047

Semantic segmentation of thermal defects in belt conveyor idlers using thermal image augmentation and U-Net-based convolutional neural networks

Autori: Mohammad Siami, Tomasz Barszcz, Jacek Wodecki, Radoslaw Zimroz
Pubblicato in: Scientific Reports, Numero 14, 2024, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-024-55864-2

An adversarial training framework for mitigating algorithmic biases in clinical machine learning

Autori: Jenny Yang, Andrew A. S. Soltan, David W. Eyre, Yang Yang & David A. Clifton
Pubblicato in: npj Digital Medicine, 2023, ISSN 2398-6352
Editore: Springer Nature
DOI: 10.1038/s41746-023-00805-y

Self-supervised Learning Approach for Anomaly Detection in Rotating Machinery

Autori: Fabrizio De Fabritiis, Konstantinos Gryllias
Pubblicato in: Annual Conference of the PHM Society, Numero 16, 2024, ISSN 2325-0178
Editore: PHM Society
DOI: 10.36001/phmconf.2024.v16i1.3911

Diagnostics of Bolted Joints in Vibrating Screens Based on a Multi-Body Dynamical Model

Autori: Pavlo Krot, Hamid Shiri, Przemysław Dąbek, Radosław Zimroz
Pubblicato in: Materials, Numero 16, 2025, Pagina/e 5794, ISSN 1996-1944
Editore: MDPI Open Access Publishing
DOI: 10.3390/ma16175794

Separation of vibratory components in complex systems for condition monitoring

Autori: Fadi Karkafi, Dany Abboud, Quentin Leclère, Jérôme Antoni, Mohammed El Badaoui
Pubblicato in: International journal of COMADEM, Numero 27 (2), 2024, Pagina/e 21-29, ISSN 1363-7681
Editore: COMADEM International

Novel Hybrid Prognostics of Aircraft Systems

Autori: Shuai Fu, Nicolas P. Avdelidis, Angelos Plastropoulos
Pubblicato in: Electronics, Numero 14, 2025, Pagina/e 2193, ISSN 2079-9292
Editore: MDPI AG
DOI: 10.3390/electronics14112193

Using long-term condition monitoring data with non-Gaussian noise for online diagnostics

Autori: Hamid Shiri, Pawel Zimroz, Jacek Wodecki, Agnieszka Wyłomańska, Radosław Zimroz, Krzysztof Szabat
Pubblicato in: Mechanical Systems and Signal Processing, Numero 200, 2025, Pagina/e 110472, ISSN 0888-3270
Editore: Academic Press
DOI: 10.1016/j.ymssp.2023.110472

Reinforcement Learning-Based Control for Robotic Flexible Element Disassembly

Autori: Benjamín Tapia Sal Paz, Gorka Sorrosal, Aitziber Mancisidor, Carlos Calleja, Itziar Cabanes
Pubblicato in: Mathematics, Numero 13, 2025, Pagina/e 1120, ISSN 2227-7390
Editore: MDPI AG
DOI: 10.3390/math13071120

Fusion and Comparison of Prognostic Models for Remaining Useful Life of Aircraft systems

Autori: Shuai Fu, Nicolas P. Avdelidis, Angelos Plastropoulos, Ip-Shing Fan
Pubblicato in: Annual Conference of the PHM Society, Numero 15, 2023, ISSN 2325-0178
Editore: Prognostics and Health Management Society
DOI: 10.36001/phmconf.2023.v15i1.3505

Heterogeneous Information Fusion for Robot-Based Automated Monitoring of Bearings in Harsh Environments via Ensemble of Classifiers with Dynamic Weighted Voting

Autori: Mohammad Siami, Przemysław Dąbek, Hamid Shiri, Anna Michalak, Jacek Wodecki, Tomasz Barszcz, Radosław Zimroz
Pubblicato in: Sensors, Numero 25, 2025, Pagina/e 5512, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s25175512

Video-based diagnosis of a rolling element bearing using a high-speed camera: Feedback on the Survishno 2023 conference contest

Autori: Quentin Leclère, Hugo André, Jérôme Antoni, Arthur Burel, Cécile Capdessus, Marco Cocconcelli, Gianluca D’Elia, Alessandro Paolo Daga, Jean-Luc Dion, Mohammed El Badaoui, Abdallah El Hidali, Luigi Garibaldi, François Girardin, Julien Griffaton, Konstantinos Gryllias, Yunhyeok Han, Jan Helsen, Fadi Karkafi, Kayacan Kestel, Layla Kordylas, Deepti Kunte, Stefania Lo Feudo, Adrien Marsick, Dou
Pubblicato in: Mechanical Systems and Signal Processing, Numero 230, 2025, Pagina/e 112601, ISSN 0888-3270
Editore: Academic Press
DOI: 10.1016/j.ymssp.2025.112601

Robust switching Kalman filter for diagnostics of long-term condition monitoring data in the presence of non-Gaussian noise

Autori: Hamid Shiri, Jacek Wodecki, Radosław Zimroz
Pubblicato in: IOP Conference Series: Earth and Environmental Science, Numero 1189, 2023, Pagina/e 012007, ISSN 1755-1307
Editore: IOP Publishing
DOI: 10.1088/1755-1315/1189/1/012007

Differentiable Short-Time Fourier Transform Window Length Selection Driven by Cyclo-Stationarity

Autori: Douw Marx, Konstantinos Gryllias
Pubblicato in: Annual Conference of the PHM Society, Numero 15, 2023, ISSN 2325-0178
Editore: PHM Society
DOI: 10.36001/phmconf.2023.v15i1.3566

Health Management of Aircraft Fuel Systems: A Practical Prognostic Perspective

Autori: null null, Shuai Fu, null null, Nicolas Peter Avdelidis
Pubblicato in: e-Journal of Nondestructive Testing, Numero 29, 2024, ISSN 1435-4934
Editore: Proceedings of the 10th European Workshop on Structural Health Monitoring (EWSHM 2024)
DOI: 10.58286/29733

Automated Identification of Overheated Belt Conveyor Idlers in Thermal Images with Complex Backgrounds Using Binary Classification with CNN

Autori: Mohammad Siami; Tomasz Barszcz; Jacek Wodecki; Radoslaw Zimroz
Pubblicato in: Sensors, 2022, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s222410004

Estimation of machinery’s remaining useful life in the presence of non-Gaussian noise by using a robust extended Kalman filter

Autori: Hamid Shiri, Pawel Zimroz, Agnieszka Wyłomańska, Radosław Zimroz
Pubblicato in: Measurement, Numero 235, 2025, Pagina/e 114882, ISSN 0263-2241
Editore: Elsevier BV
DOI: 10.1016/j.measurement.2024.114882

Prediction of machine state for non-Gaussian degradation model using Hidden Markov Model approach

Autori: Joanna Janczura, Wojciech Żuławiński, Hamid Shiri, Tomasz Barszcz, Radosław Zimroz, Agnieszka Wyłomańska
Pubblicato in: Eksploatacja i Niezawodność – Maintenance and Reliability, Numero 27, 2025, ISSN 1507-2711
Editore: Polish Maintenance Society
DOI: 10.17531/ein/193898

Advanced Image Analytics for Mobile Robot-Based Condition Monitoring in Hazardous Environments: A Comprehensive Thermal Defect Processing Framework

Autori: Mohammad Siami, Tomasz Barszcz, Radoslaw Zimroz
Pubblicato in: Sensors, Numero 24, 2025, Pagina/e 3421, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s24113421

Data-driven segmentation of long term condition monitoring data in the presence of heavy-tailed distributed noise with finite-variance

Autori: Hamid Shiri, Pawel Zimroz, Jacek Wodecki, Agnieszka Wyłomańska, Radoslaw Zimroz
Pubblicato in: Mechanical Systems and Signal Processing, Numero 205, 2025, Pagina/e 110833, ISSN 0888-3270
Editore: Academic Press
DOI: 10.1016/j.ymssp.2023.110833

Interpretable machine learning-based decision support for prediction of antibiotic resistance for complicated urinary tract infections

Autori: Jenny Yang, David W. Eyre, Lei Lu, David A. Clifton
Pubblicato in: npj Antimicrobials and Resistance, Numero 1, 2023, ISSN 2731-8745
Editore: Springer Science and Business Media LLC
DOI: 10.1038/s44259-023-00015-2

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

Autori: null Felixfu2022, Nicolas P. Avdelidis
Pubblicato in: PHM Society European Conference, Numero 8, 2024, Pagina/e 9, ISSN 2325-016X
Editore: PHM Society European Conference
DOI: 10.36001/phme.2024.v8i1.4130

Application of Machine Learning Tools for Long-Term Diagnostic Feature Data Segmentation

Autori: Forough Moosavi, Hamid Shiri, Jacek Wodecki, Agnieszka Wyłomańska, Radoslaw Zimroz
Pubblicato in: Applied Sciences, Numero 2022, 12(13), 6766;, 2022, Pagina/e 1-29, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app12136766

Novel Prognostic Methodology of Bootstrap Forest and Hyperbolic Tangent Boosted Neural Network for Aircraft System

Autori: Shuai Fu, Nicolas P. Avdelidis
Pubblicato in: Applied Sciences, Numero 14, 2024, Pagina/e 5057, ISSN 2076-3417
Editore: Applied Sciences
DOI: 10.3390/app14125057

Human-Centric PHM in the Era of Industry 5.0

Autori: Parul Khanna, Jaya Kumari, Ramin Karim
Pubblicato in: PHM Society European Conference, Numero 8, 2024, Pagina/e 7, ISSN 2325-016X
Editore: PHM Society
DOI: 10.36001/phme.2024.v8i1.4121

Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening

Autori: Jenny Yang, Andrew A. S. Soltan & David A. Clifton
Pubblicato in: npj Digital Medicine, 2022, ISSN 2398-6352
Editore: Springer Nature
DOI: 10.1038/s41746-022-00614-9

Generalizability assessment of AI models across hospitals in a low-middle and high income country

Autori: Jenny Yang, Nguyen Thanh Dung, Pham Ngoc Thach, Nguyen Thanh Phong, Vu Dinh Phu, Khiem Dong Phu, Lam Minh Yen, Doan Bui Xuan Thy, Andrew A. S. Soltan, Louise Thwaites, David A. Clifton
Pubblicato in: Nature Communications, Numero 15, 2024, ISSN 2041-1723
Editore: Nature Publishing Group
DOI: 10.1038/s41467-024-52618-6

Addressing Label Noise for Electronic Health Records: Insights from Computer Vision for Tabular Data

Autori: Jenny Yang, Hagen Triendl, Andrew A. S. Soltan, Mangal Prakash, David A. Clifton
Pubblicato in: BMC Medical Informatics and Decision Making, 2024, ISSN 1472-6947
Editore: BioMed Central
DOI: 10.1101/2023.10.17.23297136

Novelty detection for long-term diagnostic data with Gaussian and non-Gaussian disturbances using a support vector machine

Autori: Forough Moosavi, Hamid Shiri, Govind Vashishtha, Sumika Chauhan, Agnieszka Wylomanska, Radoslaw Zimroz
Pubblicato in: Measurement Science and Technology, Numero 36, 2024, Pagina/e 016195, ISSN 0957-0233
Editore: Institute of Physics and the Physical Society
DOI: 10.1088/1361-6501/ad90fe

A multi-order synchrosqueezing transform leveraging informative harmonics selection for instantaneous angular speed estimation

Autori: Fadi Karkafi, Quentin Leclère, Jérôme Antoni, Dany Abboud, Mohammed El Badaoui
Pubblicato in: Mechanical Systems and Signal Processing, Numero 230, 2025, Pagina/e 112567, ISSN 0888-3270
Editore: Academic Press
DOI: 10.1016/j.ymssp.2025.112567

Design of an Infrared Image Processing Pipeline for Robotic Inspection of Conveyor Systems in Opencast Mining Sites

Autori: Mohammad Siami ;Tomasz Barszcz; Jacek Wodecki; Radoslaw Zimroz
Pubblicato in: Energies, 2022, ISSN 1996-1073
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en15186771

Mitigating Machine Learning Bias Between High Income and Low-Middle Income Countries for Enhanced Model Fairness and Generalizability

Autori: Jenny Yang, Lei Clifton, Nguyen Thanh Dung, Nguyen Thanh Phong, Lam Minh Yen, Doan Bui Xuan Thy, Andrew A. S. Soltan, Louise Thwaites, David A. Clifton
Pubblicato in: Scientific Reports, 2024, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1101/2024.02.01.24302010

Predicting pitting severity in gearboxes under unseen operating conditions and fault severities using convolutional neural networks with power spectral density inputs

Autori: Douw Marx
Pubblicato in: Annual Conference of the PHM Society, Numero 15, 2023, ISSN 2325-0178
Editore: PHM Society
DOI: 10.36001/phmconf.2023.v15i1.3798

Deep reinforcement learning for multi-class imbalanced training: applications in healthcare

Autori: Jenny Yang, Rasheed El-Bouri, Odhran O’Donoghue, Alexander S. Lachapelle, Andrew A. S. Soltan, David W. Eyre, Lei Lu, David A. Clifton
Pubblicato in: Machine Learning, Numero 113, 2024, Pagina/e 2655-2674, ISSN 0885-6125
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10994-023-06481-z

Machine Learning-Based Risk Stratification for Gestational Diabetes Management

Autori: Jenny Yang, David Clifton, Jane E Hirst, Foteini K Kavvoura, George Farah, Lucy Mackillop, Huiqi Lu
Pubblicato in: Sensors, 2022, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22134805

Wind turbine condition monitoring dataset of Fraunhofer LBF

Autori: Atabak Mostafavi, Andreas Friedmann
Pubblicato in: Scientific Data, Numero 11, 2024, ISSN 2052-4463
Editore: Springer Nature
DOI: 10.1038/s41597-024-03934-5

Prognostic and Health Management of Critical Aircraft Systems and Components: An Overview

Autori: Shuai Fu, Nicolas P. Avdelidis
Pubblicato in: Sensors, Numero 23, 2023, Pagina/e 8124, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23198124

MOIRA-UNIMORE Bearing Data Set for Independent Cart Systems

Autori: Abdul Jabbar, Marco Cocconcelli, Gianluca D’Elia, Davide Borghi, Luca Capelli, Jacopo Cavalaglio Camargo Molano, Matteo Strozzi, Riccardo Rubini
Pubblicato in: Applied Sciences, Numero 15, 2025, Pagina/e 3691, ISSN 2076-3417
Editore: MDPI AG
DOI: 10.3390/app15073691

Preprocessing and Modeling Approach for Gearbox Pitting Severity Prediction under Unseen Operating Conditions and Fault Severities

Autori: Rik Vaerenberg, Douw Marx, Seyed Ali Hosseinli, Fabrizio De Fabritiis, Hao Wen, Rui Zhu, Konstantinos Gryllias
Pubblicato in: International Journal of Prognostics and Health Management, Numero 15, 2024, ISSN 2153-2648
Editore: PHM Society
DOI: 10.36001/ijphm.2024.v15i1.3808

A method for adding domain knowledge to semi-supervised fault detection using signal processing gradients

Autori: Douw Marx, Deepti Kunte, Bram Cornelis, Konstantinos Gryllias
Pubblicato in: Proceedings of ISMA 2024, 2024
Editore: KU Leuven

Control robótico inteligente para extracción de elementos flexibles

Autori: Benjamin Tapia Sal Paz, Gorka Sorrosal, Aitziber Mancisidor, Itziar Cabanes
Pubblicato in: Jornadas de Automática, 2024, ISSN 3045-4093
Editore: Jornadas de Automática
DOI: 10.17979/ja-cea.2024.45.10927

Ball-bearings fault detection for an independent cart system: experimental campaign and preliminary results

Autori: Jabbar, A.; Fonte, C.; D'Elia, G.; Cocconcelli, M.
Pubblicato in: Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics, 2024, ISBN 9789082893175
Editore: KUL

Investigating the usage of Proxy-A-Distance as a measure of dataset shift detection and quantification in an automotive booming noise classification setting

Autori: Deepti Kunte, Bram Cornelis, Claudio Colangeli, Konstantinos Gryllias
Pubblicato in: Surveillance, Vibrations, Shock and Noise (Survishno), 2023
Editore: HAL open science

A vibration based self-learning approach for machine condition monitoring

Autori: F. De Fabritiis, K. Gryllias
Pubblicato in: ISMA2024 - USD2024 Conference programme, 2024
Editore: KU Leuven

Enhancing Decision Support in Construction through Industrial AI

Autori: Khanna, P., Prabhu, S., Karim, R., & Tretten, P.
Pubblicato in: International Congress and Workshop on Industrial AI and eMaintenance – IAI2025, May 13–15 2025, 2025
Editore: Springer

Feature Extraction in non-stationary conditions

Autori: Achilleos, Achilleas; Leclere, Quentin; Antoni, Jérôme
Pubblicato in: Numero 12, 2023
Editore: HAL

Hybrid Robotic Control for Flexible Element Disassembly

Autori: Benjamín Tapia Sal Paz; Gorka Sorrosal; Aitziber Mancisidor Barinagarrementeria
Pubblicato in: European Robotic Forum 2024, 2024
Editore: European Robotic Forum 2024

A two-step synchrosqueezing transform approach mitigating reallocation errors in time-frequency analysis

Autori: Fadi Karkafi, Maxime Leiber, Quentin Leclère, Jérôme Antoni, Mohammed El Badaoui
Pubblicato in: Proceedings of ISMA2024 Conference on Noise and Vibration Engineering, 2024, ISBN 9789082893175
Editore: KU Leuven

Deep Learning-Based Semantic Segmentation of Thermal Defects Using AResU-Net and Real-ESRGAN for the Infrared Image Resolution Enhancement

Autori: Mohammad Siami, Tomasz Barszcz , Jacek Wodecki, Radosław Zimroz
Pubblicato in: 2023
Editore: Damas conference
DOI: 10.5281/zenodo.17628450

Transfer Learning for Booming Noise Classification

Autori: Deepti Kunte; Claudio Colangeli; Bram Cornelis; Konstantinos Gryllias; Christophe De Veuster; Karl Janssens
Pubblicato in: Proc. DAGA 2022 Conference, 2022
Editore: DEGA

A Prognostic Approach to Improve System Reliability for Aircraft System

Autori: Shuai Fu, Nicolas P. Avdelidis, Ian K. Jennions
Pubblicato in: 2023 7th International Conference on System Reliability and Safety (ICSRS), 2024, Pagina/e 259-264
Editore: IEEE
DOI: 10.1109/icsrs59833.2023.10381117

Nonlinear cyclic excitation and the improvement of the Operational Modal Analysis for Rotating machineries

Autori: Ahani, Mojtaba; Bourdon, Adeline; Rémond, Didier
Pubblicato in: 8th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, 2024
Editore: Wenzhou University

A method for adding domain knowledge to semi-supervised fault detection using signal processing gradients

Autori: Marx, Douw Gerbrand; Kunte, Deepti; Cornelis, Bram; Gryllias, Konstantinos
Pubblicato in: Proceedings of ISMA2024 International Conference on Noise and Vibration Engineering, 2024
Editore: KU Leuven, Departement Werktuigkunde, LMSD (Mecha (tro) nic System Dynamics)

Results on experimental data analysis of independent cart systems in nonstationary conditions

Autori: Abdul Jabbar, Marco Cocconcelli, Gianluca D’Elia, Matteo Strozzi and Riccardo Rubini.
Pubblicato in: Surveillance, Vibrations, Shock and Noise (Survishno), 2023
Editore: HAL open science

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

Autori: Abdul Jabbar, Manuel Mazzonetto, Leonardo Orazi and Marco Cocconcelli
Pubblicato in: Proceedings of the 8th European Conference of the Prognostics and Health Management Society 2024, 2024, Pagina/e 898-907, ISBN 978-1-936263-40-0
Editore: PHM Society

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

Autori: Fadi Karkafi, Jérôme Antoni, Quentin Leclère, Mahsa Yazdanianasr, Konstantinos Gryllias, Mohammed El Badaoui
Pubblicato in: PHM Society European Conference, Numero 8, 2024, Pagina/e 10, ISBN 978-1-936263-40-0
Editore: PHM Society European Conference
DOI: 10.36001/phme.2024.v8i1.3984

Numerical bifurcation analysis of gear transmission in non-stationary regimes under angular formalism

Autori: Clerc, Victor; Alcorta, Roberto; Ahani, Mojtaba; Bourdon, Adeline; Rémond, Didier
Pubblicato in: 3rd World Congress on Condition Monitoring - WCCM 2024, 2024
Editore: International Society for Condition Monitoring and NDT

A Comparative Study: Pre-whitening for Informative Pre-whitening for Informative Kurtogram based Preprocessing in Bearing Fault Diagnosis using Convolutional Neural Networks

Autori: Atabak Mostafavi, Andreas Friedmann
Pubblicato in: Wind Europe 2024, 2024
Editore: Wind Europe
DOI: 10.24406/publica-3415

Aeronautics failure: a prognostic methodology based on the physics of failure and statistical approaches for predictive maintenance

Autori: Shuai Fu, Nicolas P. Avdelidis
Pubblicato in: NDE 4.0, Predictive Maintenance, Communication, and Energy Systems: The Digital Transformation of NDE II, 2024, Pagina/e 6
Editore: SPIE
DOI: 10.1117/12.3018035

Enhancing Explainability of Time Series Anomaly Detection for NVH Testing

Autori: Lan Jia, Bram Cornelis, Claudio Colangeli, Konstantinos Gryllias
Pubblicato in: proceedings of 2025 IEEE INTERNATIONAL CONFERENCE ON Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (IEEE METROXRAINE), 2025
Editore: IEEE

Application of multi-label convolutional neural networks on enhancement of reliability of classification, a case study on bearing fault diagnostics

Autori: Atabak Mostafavi, Andreas Friedmann
Pubblicato in: 11th European Workshop on Structural Health Monitoring (EWSHM 2024), Numero 2024, 2024
Editore: NDT
DOI: 10.58286/29611

Robust sensor spike detection method based on Dynamic Time Warping

Autori: Federico Deuschle; Bram Cornelis; Konstantinos Gryllias
Pubblicato in: Proc. ASPAI 2022 conference, 2022
Editore: IFSA publishing

USING THE NATURAL MODES OF TRANSIENT VIBRATIONS IN PREDICTIVE MAINTENANCE OF INDUSTRIAL MACHINES

Autori: Pavlo KROT; Hamid Shiri; Radoslaw ZIMROZ
Pubblicato in: VIBSYS 2022, Numero 2, 2022, Pagina/e 1-2, ISBN 978-83-89333-80-3
Editore: Agencja Reklamowa COMPRINT
DOI: 10.5281/zenodo.7864570

Acoustic-based diagnostics of belt conveyor idlers in real-life mining conditions by mobile inspection robot

Autori: Jacek Wodecki; Hamid Shiri; Mohammad Siami ;Radoslaw Zimroz
Pubblicato in: Proceedings of ISMA2022, Numero Proceedings of ISMA2022, 2022, Pagina/e 1-10
Editore: International Conference on Noise and Vibration Engineering

Automated domain adaptation for bearings fault detection and classification

Autori: Fadi Karkafi, Amani Raad, Dany Abboud, Yosra Marnissi, Guillaume Doquet, Mohammed El Badaoui
Pubblicato in: Surveillance, Vibrations, Shock and Noise (Survishno), 2023
Editore: HAL open science

Intelligent Adaptative Robotic System for Physical Interaction Tasks

Autori: Benjamín Tapia Sal Paz; Gorka Sorrosal; Aitziber Mancisidor
Pubblicato in: 2022 Sixth IEEE International Conference on Robotic Computing (IRC), 2023, ISBN 978-1-6654-7260-9
Editore: IEEE
DOI: 10.1109/irc55401.2022.00082

A federated learning approach for rolling bearing fault diagnosis on data sources with imbalanced class distribution

Autori: De Fabritiis, Fabrizio; Gryllias, Konstantinos
Pubblicato in: Surveillance, Vibrations, Shock and Noise, Institut Supérieur de l’Aéronautique et de l’Espace, 2023
Editore: ISAE-SUPAERO

A CONTEXT-AWARE METHODOLOGY FOR FAULT DETECTION AND SEVERITY CLASSIFICATION UNDER VARIABLE OPERATING CONDITIONS

Autori: F. De Fabritiis, K. Gryllias, VK Chauhan, D. A. Clifton
Pubblicato in: Proceedings of the 31st International Congress on Sound and Vibration, 2025
Editore: The Korean Society for Noise and Vibration Engineering https://ksnve.or.kr

Characterization and identification of nonlinear cyclic excitations in non-stationary gearbox operations

Autori: Ahani, Mojtaba; Bourdon, Adeline; Rémond, Didier
Pubblicato in: International Conference on Noise and Vibration Engineering, 2024
Editore: KU Leuven

Transfer learning for unsupervised booming noise classification

Autori: Deepti Kunte; Bram Cornelis; Claudio Colangeli; Christophe De Veuster; Konstantinos Gryllias
Pubblicato in: Proc. ISMA 2022 Conference, 2022
Editore: KU Leuven - ISMA - International Conference on Noise and Vibration Engineering

Information Fusion of Infrared Images and Acoustic Signals for Bearing Fault Diagnosis of Rotating Machinery

Autori: Mohammad Siami , Hamid Shiri , Tomasz Barszcz , Jacek Wodecki , Radoslaw Zimroz
Pubblicato in: 2023
Editore: HAL
DOI: 10.5281/zenodo.17630757

Validation of time series anomaly detection methods for automated detection of measurement anomalies in noise and vibration testing

Autori: Lan Jia, Bram Cornelis, Konstantinos Gryllias
Pubblicato in: Proceedings of ISMA 2024, 2024
Editore: KU Leuven

Human-centric Maintenance Process Through Integration of AI, Speech, and AR

Autori: Khanna, P., Kour, R., & Karim, R.
Pubblicato in: International Congress and Workshop on Industrial AI and eMaintenance – IAI2025, May 13–15 2025, Luleå, Sweden, 2025
Editore: Springer

Modeling and identifying non-stationary long-term historical condition monitoring data in the presence of noise with non-Gaussian characteristics

Autori: Hamid Shiri (1) , Pawel Zimroz (1) , Agnieszka Wylomanska (1) , Radoslaw Zimroz (1)
Pubblicato in: 2023
Editore: Hal
DOI: 10.5281/zenodo.17629060

Data-efficient fault detection in vehicle end-of-line testing through fault location-informed classification

Autori: Deepti Kunte, Douw Marx, Bram Cornelis, Claudio Colangeli, Konstantinos Gryllias
Pubblicato in: Proceedings of ISMA 2024, 2024
Editore: KU Leuven

Effective Identification of Cyclic Excitation and Resonance in Non-stationary Gearbox Vibration Monitoring

Autori: Ahani, Mojtaba; Bourdon, Adeline; Rémond, Didier
Pubblicato in: Surveillance, Vibrations, Shock and Noise Conference, Numero 7, 2023
Editore: Institut Supérieur de l'Aéronautique et de l'Espace [ISAE-SUPAERO]

Control híbrido para la manipulación robótica de elementos flexibles

Autori: Benjamín Tapia Sal Paz, Gorka Sorrosal, Aitziber Mancisidor, Itziar Cabanes
Pubblicato in: XLIV Jornadas de Automática: libro de actas: Universidad de Zaragoza, Escuela de Ingeniería y Arquitectura, 6, 7 y 8 de septiembre de 2023, Zaragoza, 2023, Pagina/e 768-772
Editore: Servizo de Publicacións. Universidade da Coruña
DOI: 10.17979/spudc.9788497498609.768

Performance study of DTW-based spike measurement anomaly detection in sensors on real world tests.

Autori: Bram Cornelis, Federico Deuschle, Konstantinos Gryllias
Pubblicato in: Surveillance, Vibrations, Shock and Noise (Survishno), 2023
Editore: HAL open science

From acoustic testing and modeling towards multi-physical digital twins: use cases and demonstrators

Autori: Van Belle, Lucas; Panagiotopoulos, dionysios; Cool, vanessa; Denayer, hervé; Claeys, claus; Desmet, wim; Pluymers, bert; Gryllias, konstantinos; Naets, frank; Deckers, elke
Pubblicato in: Forum Acusticum Euronoise 2025, 2025
Editore: European Acoustics Association

Domain Knowledge Informed Unsupervised Fault Detection for Rolling Element Bearings

Autori: Marx, D.G., Gryllias, K.
Pubblicato in: Proceedings of the European Conference of the PHM Society 2022, Numero Vol. 7 No. 1, 2022, Pagina/e 338-350, ISBN 978-1-936263-36-3
Editore: PHM Society European Conference
DOI: 10.36001/phme.2022.v7i1.3348

Issues and Challenges in Implementing the Metaverse in the Industrial Contexts from a Human-System Interaction Perspective

Autori: Parul Khanna, Ramin Karim, Jaya Kumari
Pubblicato in: Lecture Notes in Mechanical Engineering, International Congress and Workshop on Industrial AI and eMaintenance 2023, 2024, Pagina/e 303-318
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-39619-9_22

Overload detection in MEMS microphones-based acoustic arrays

Autori: Federico Deuschle; Bram Cornelis; Jeroen Lanslots; Konstantinos Gryllias
Pubblicato in: Proc. ISMA 2022 conference, 2022
Editore: KU Leuven - ISMA - International Conference on Noise and Vibration Engineering

PROBABILISTIC UNCERTAINTY-AWARE DECISION FUSION OF NEURAL NETWORK FOR BEARING FAULT DIAGNOSIS

Autori: Atabak Mostafavi, Mohammad Siami, Andreas Friedmann, Tomasz Barszcz, Radoslaw Zimroz
Pubblicato in: PROCEEDINGS OF THE EUROPEAN CONFERENCE OF THE PHM SOCIETY 2024, Numero Vol. 8, No. 1, 2024, Pagina/e 703-712, ISBN 978-1-936263-40-0
Editore: PHM Society European Conference
DOI: 10.36001/phme.2024.v8i1.4010

Deep learning implementations of cyclo-stationary signal processing methods

Autori: Marx, D.G., Liu, C., Antoni, J., Gryllias, K.
Pubblicato in: 2022 Leuven Conference on Noise and Vibration Engineering, 2022, Pagina/e 661-678, ISBN 9789082893151
Editore: KU Leuven - ISMA - International Conference on Noise and Vibration Engineering

Automated IR Image Segmentation for Identification of Overheated Idlers in Belt Conveyor Systems Based on Outlier-Detection Method

Autori: Tomasz Barszcz, Mohammad Siami, Jacek Wodecki, Radosław Zimroz
Pubblicato in: SSRN Electronic Journal, 2024, ISSN 1556-5068
Editore: SSRN
DOI: 10.2139/ssrn.4054247

Nonstationary vibration diagnostics of rotating machinery : Application to aeronautic power transmission systems

Autori: Fadi Karkafi
Pubblicato in: 2025
Editore: HAL Science

Experimental Setup for Non-stationary Condition Monitoring of Independent Cart Systems

Autori: Abdul Jabbar, Gianluca D’Elia, Marco Cocconcelli
Pubblicato in: Lecture Notes in Mechanical Engineering, International Congress and Workshop on Industrial AI and eMaintenance 2023, 2024, Pagina/e 517-530
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-39619-9_38

Domain Knowledge Regularised Fault Detection

Autori: Douw Marx, Konstantinos Gryllias
Pubblicato in: Lecture Notes in Mechanical Engineering, International Congress and Workshop on Industrial AI and eMaintenance 2023, 2024, Pagina/e 395-408
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-39619-9_29

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