MOnItoRing of large scale complex technologicAl systems

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Report on 1st public technical course

Pubblicazioni

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

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

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

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

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

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

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

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

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

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