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CORDIS - EU research results
CORDIS

MOnItoRing of large scale complex technologicAl systems

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Publications

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

Author(s): Douw Marx, Deepti Kunte, Bram Cornelis, Konstantinos Gryllias
Published in: Proceedings of ISMA 2024, 2024
Publisher: KU Leuven

Control robótico inteligente para extracción de elementos flexibles (opens in new window)

Author(s): Benjamin Tapia Sal Paz, Gorka Sorrosal, Aitziber Mancisidor, Itziar Cabanes
Published in: Jornadas de Automática, 2024, ISSN 3045-4093
Publisher: 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

Author(s): Jabbar, A.; Fonte, C.; D'Elia, G.; Cocconcelli, M.
Published 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
Publisher: KUL

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

Author(s): Deepti Kunte, Bram Cornelis, Claudio Colangeli, Konstantinos Gryllias
Published in: Surveillance, Vibrations, Shock and Noise (Survishno), 2023
Publisher: HAL open science

Hybrid Robotic Control for Flexible Element Disassembly

Author(s): Benjamín Tapia Sal Paz; Gorka Sorrosal; Aitziber Mancisidor Barinagarrementeria
Published in: European Robotic Forum 2024, 2024
Publisher: European Robotic Forum 2024

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

Author(s): Fadi Karkafi, Maxime Leiber, Quentin Leclère, Jérôme Antoni, Mohammed El Badaoui
Published in: Proceedings of ISMA2024 Conference on Noise and Vibration Engineering, 2024, ISBN 9789082893175
Publisher: KU Leuven

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

Author(s): Mohammad Siami; Tomasz Barszcz; Jacek Wodecki; Radoslaw Zimroz
Published in: IOP Conference Series: Earth and Environmental Science, Issue 4, 2022, Page(s) 1-8, ISSN 1755-1315
Publisher: XXII Conference of PhD Students and Young Scientists

Transfer Learning for Booming Noise Classification

Author(s): Deepti Kunte; Claudio Colangeli; Bram Cornelis; Konstantinos Gryllias; Christophe De Veuster; Karl Janssens
Published in: Proc. DAGA 2022 Conference, 2022
Publisher: DEGA

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

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

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

Author(s): Abdul Jabbar, Manuel Mazzonetto, Leonardo Orazi and Marco Cocconcelli
Published in: Proceedings of the 8th European Conference of the Prognostics and Health Management Society 2024, 2024, Page(s) 898-907, ISBN 978-1-936263-40-0
Publisher: PHM Society

Enhanced Diagnostics Empowered by Improved Mechanical Vibration Component Extraction in Nonstationary Regimes (opens in new window)

Author(s): Fadi Karkafi, Jérôme Antoni, Quentin Leclère, Mahsa Yazdanianasr, Konstantinos Gryllias, Mohammed El Badaoui
Published in: PHM Society European Conference, Issue 8, 2024, Page(s) 10, ISBN 978-1-936263-40-0
Publisher: 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 (opens in new window)

Author(s): Atabak Mostafavi, Andreas Friedmann
Published in: Wind Europe 2024, 2024
Publisher: 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 (opens in new window)

Author(s): Atabak Mostafavi, Andreas Friedmann
Published in: 11th European Workshop on Structural Health Monitoring (EWSHM 2024), Issue 2024, 2024
Publisher: NDT
DOI: 10.58286/29611

Robust sensor spike detection method based on Dynamic Time Warping

Author(s): Federico Deuschle; Bram Cornelis; Konstantinos Gryllias
Published in: Proc. ASPAI 2022 conference, 2022
Publisher: IFSA publishing

USING THE NATURAL MODES OF TRANSIENT VIBRATIONS IN PREDICTIVE MAINTENANCE OF INDUSTRIAL MACHINES (opens in new window)

Author(s): Pavlo KROT; Hamid Shiri; Radoslaw ZIMROZ
Published in: VIBSYS 2022, Issue 2, 2022, Page(s) 1-2, ISBN 978-83-89333-80-3
Publisher: Agencja Reklamowa COMPRINT
DOI: 10.5281/zenodo.7864570

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

Author(s): Jacek Wodecki; Hamid Shiri; Mohammad Siami ;Radoslaw Zimroz
Published in: Proceedings of ISMA2022, Issue Proceedings of ISMA2022, 2022, Page(s) 1-10
Publisher: International Conference on Noise and Vibration Engineering

Automated domain adaptation for bearings fault detection and classification

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

Intelligent Adaptative Robotic System for Physical Interaction Tasks (opens in new window)

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

Transfer learning for unsupervised booming noise classification

Author(s): Deepti Kunte; Bram Cornelis; Claudio Colangeli; Christophe De Veuster; Konstantinos Gryllias
Published in: Proc. ISMA 2022 Conference, 2022
Publisher: 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

Author(s): Lan Jia, Bram Cornelis, Konstantinos Gryllias
Published in: Proceedings of ISMA 2024, 2024
Publisher: KU Leuven

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

Author(s): Deepti Kunte, Douw Marx, Bram Cornelis, Claudio Colangeli, Konstantinos Gryllias
Published in: Proceedings of ISMA 2024, 2024
Publisher: KU Leuven

Control híbrido para la manipulación robótica de elementos flexibles (opens in new window)

Author(s): Benjamín Tapia Sal Paz, Gorka Sorrosal, Aitziber Mancisidor, Itziar Cabanes
Published 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, Page(s) 768-772
Publisher: 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.

Author(s): Bram Cornelis, Federico Deuschle, Konstantinos Gryllias
Published in: Surveillance, Vibrations, Shock and Noise (Survishno), 2023
Publisher: HAL open science

Domain Knowledge Informed Unsupervised Fault Detection for Rolling Element Bearings (opens in new window)

Author(s): Marx, D.G., Gryllias, K.
Published in: Proceedings of the European Conference of the PHM Society 2022, Issue Vol. 7 No. 1, 2022, Page(s) 338-350, ISBN 978-1-936263-36-3
Publisher: PHM Society European Conference
DOI: 10.36001/phme.2022.v7i1.3348

Overload detection in MEMS microphones-based acoustic arrays

Author(s): Federico Deuschle; Bram Cornelis; Jeroen Lanslots; Konstantinos Gryllias
Published in: Proc. ISMA 2022 conference, 2022
Publisher: KU Leuven - ISMA - International Conference on Noise and Vibration Engineering

PROBABILISTIC UNCERTAINTY-AWARE DECISION FUSION OF NEURAL NETWORK FOR BEARING FAULT DIAGNOSIS (opens in new window)

Author(s): Atabak Mostafavi, Mohammad Siami, Andreas Friedmann, Tomasz Barszcz, Radoslaw Zimroz
Published in: PROCEEDINGS OF THE EUROPEAN CONFERENCE OF THE PHM SOCIETY 2024, Issue Vol. 8, No. 1, 2024, Page(s) 703-712, ISBN 978-1-936263-40-0
Publisher: PHM Society European Conference
DOI: 10.36001/phme.2024.v8i1.4010

Deep learning implementations of cyclo-stationary signal processing methods

Author(s): Marx, D.G., Liu, C., Antoni, J., Gryllias, K.
Published in: 2022 Leuven Conference on Noise and Vibration Engineering, 2022, Page(s) 661-678, ISBN 9789082893151
Publisher: 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 (opens in new window)

Author(s): Wojciech Żuławiński; Katarzyna Maraj-Zygmąt; Hamid Shiri; Agnieszka Wyłomańska; Radosław Zimroz
Published in: Mechanical Systems and Signal Processing, Issue Volume 184, 1 February 2023, 2023, Page(s) 1-24, ISSN 0888-3270
Publisher: Academic Press
DOI: 10.1016/j.ymssp.2022.109677

Variable Projection Support Vector Machines and Some Applications Using Adaptive Hermite Expansions (opens in new window)

Author(s): Tamás Dózsa, Federico Deuschle, Bram Cornelis, Péter Kovács
Published in: International Journal of Neural Systems, Issue Vol34 no1, 2023, ISSN 0129-0657
Publisher: World Scientific Publishing Co
DOI: 10.1142/s0129065724500047

An adversarial training framework for mitigating algorithmic biases in clinical machine learning (opens in new window)

Author(s): Jenny Yang, Andrew A. S. Soltan, David W. Eyre, Yang Yang & David A. Clifton
Published in: npj Digital Medicine, 2023, ISSN 2398-6352
Publisher: Springer Nature
DOI: 10.1038/s41746-023-00805-y

Separation of vibratory components in complex systems for condition monitoring

Author(s): Fadi Karkafi, Dany Abboud, Quentin Leclère, Jérôme Antoni, Mohammed El Badaoui
Published in: International journal of COMADEM, Issue 27 (2), 2024, Page(s) 21-29, ISSN 1363-7681
Publisher: COMADEM International

Novel Hybrid Prognostics of Aircraft Systems (opens in new window)

Author(s): Shuai Fu, Nicolas P. Avdelidis, Angelos Plastropoulos
Published in: Electronics, Issue 14, 2025, Page(s) 2193, ISSN 2079-9292
Publisher: MDPI AG
DOI: 10.3390/electronics14112193

Reinforcement Learning-Based Control for Robotic Flexible Element Disassembly (opens in new window)

Author(s): Benjamín Tapia Sal Paz, Gorka Sorrosal, Aitziber Mancisidor, Carlos Calleja, Itziar Cabanes
Published in: Mathematics, Issue 13, 2025, Page(s) 1120, ISSN 2227-7390
Publisher: MDPI AG
DOI: 10.3390/math13071120

Fusion and Comparison of Prognostic Models for Remaining Useful Life of Aircraft systems (opens in new window)

Author(s): Shuai Fu, Nicolas P. Avdelidis, Angelos Plastropoulos, Ip-Shing Fan
Published in: Annual Conference of the PHM Society, Issue 15, 2023, ISSN 2325-0178
Publisher: Prognostics and Health Management Society
DOI: 10.36001/phmconf.2023.v15i1.3505

Health Management of Aircraft Fuel Systems: A Practical Prognostic Perspective (opens in new window)

Author(s): null null, Shuai Fu, null null, Nicolas Peter Avdelidis
Published in: e-Journal of Nondestructive Testing, Issue 29, 2024, ISSN 1435-4934
Publisher: 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 (opens in new window)

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

Hybrid Prognostics for Aircraft Fuel System: An Approach to Forecasting the Future (opens in new window)

Author(s): null Felixfu2022, Nicolas P. Avdelidis
Published in: PHM Society European Conference, Issue 8, 2024, Page(s) 9, ISSN 2325-016X
Publisher: PHM Society European Conference
DOI: 10.36001/phme.2024.v8i1.4130

Application of Machine Learning Tools for Long-Term Diagnostic Feature Data Segmentation (opens in new window)

Author(s): Forough Moosavi, Hamid Shiri, Jacek Wodecki, Agnieszka Wyłomańska, Radoslaw Zimroz
Published in: Applied Sciences, Issue 2022, 12(13), 6766;, 2022, Page(s) 1-29, ISSN 2076-3417
Publisher: MDPI
DOI: 10.3390/app12136766

Novel Prognostic Methodology of Bootstrap Forest and Hyperbolic Tangent Boosted Neural Network for Aircraft System (opens in new window)

Author(s): Shuai Fu, Nicolas P. Avdelidis
Published in: Applied Sciences, Issue 14, 2024, Page(s) 5057, ISSN 2076-3417
Publisher: Applied Sciences
DOI: 10.3390/app14125057

Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening (opens in new window)

Author(s): Jenny Yang, Andrew A. S. Soltan & David A. Clifton
Published in: npj Digital Medicine, 2022, ISSN 2398-6352
Publisher: Springer Nature
DOI: 10.1038/s41746-022-00614-9

A multi-order synchrosqueezing transform leveraging informative harmonics selection for instantaneous angular speed estimation (opens in new window)

Author(s): Fadi Karkafi, Quentin Leclère, Jérôme Antoni, Dany Abboud, Mohammed El Badaoui
Published in: Mechanical Systems and Signal Processing, Issue 230, 2025, Page(s) 112567, ISSN 0888-3270
Publisher: 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 (opens in new window)

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

Machine Learning-Based Risk Stratification for Gestational Diabetes Management (opens in new window)

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

Wind turbine condition monitoring dataset of Fraunhofer LBF (opens in new window)

Author(s): Atabak Mostafavi, Andreas Friedmann
Published in: Scientific Data, Issue 11, 2024, ISSN 2052-4463
Publisher: Springer Nature
DOI: 10.1038/s41597-024-03934-5

Prognostic and Health Management of Critical Aircraft Systems and Components: An Overview (opens in new window)

Author(s): Shuai Fu, Nicolas P. Avdelidis
Published in: Sensors, Issue 23, 2023, Page(s) 8124, ISSN 1424-8220
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23198124

MOIRA-UNIMORE Bearing Data Set for Independent Cart Systems (opens in new window)

Author(s): Abdul Jabbar, Marco Cocconcelli, Gianluca D’Elia, Davide Borghi, Luca Capelli, Jacopo Cavalaglio Camargo Molano, Matteo Strozzi, Riccardo Rubini
Published in: Applied Sciences, Issue 15, 2025, Page(s) 3691, ISSN 2076-3417
Publisher: MDPI AG
DOI: 10.3390/app15073691

Experimental Setup for Non-stationary Condition Monitoring of Independent Cart Systems (opens in new window)

Author(s): Abdul Jabbar, Gianluca D’Elia, Marco Cocconcelli
Published in: Lecture Notes in Mechanical Engineering, International Congress and Workshop on Industrial AI and eMaintenance 2023, 2024, Page(s) 517-530
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-39619-9_38

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