MOnItoRing of large scale complex technologicAl systems

Risultati finali

Report on 1st public technical course

Pubblicazioni

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

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

Robot-Based Damage Assessment Method For Identification Of Overheated Idlers In Conveyor Systems Using Histogram Analysis Techniques

Autori: Mohammad Siami; Tomasz Barszcz; Jacek Wodecki; Radoslaw Zimroz
Pubblicato in: IOP Conference Series: Earth and Environmental Science, Numero 4, 2022, Pagina/e 1-8, ISSN 1755-1315
Editore: XXII Conference of PhD Students and Young Scientists

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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