Public Industrial Course
Hosted by The EC Horizon 2020 European Training Network “MOIRA” (MOnItoRing of large scale complex technologicAL systems)
Dates: June 19-21, 2023
Location: Ikerlan, Spain.
The workshop highlights the developments of the MOIRA project, which objective is to develop the next generation of knowledge discovery methodologies, algorithms and technologies, so enabling data-driven, plant-wide fleet monitoring, with the focus on real-time diagnostics and prognostics. This objective is achieved by having 15 early-stage researchers (ESR) working closely and interacting frequently in this interdisciplinary and multi-disciplinary area.
During these 3 days of workshop, the main results obtained in the research carried out by each of the ESRs were presented and discussed. In addition, during a special session sponsored by the IEEE Robotics & Automation Society (Spanish Chapter), different works in the field of the fusion of robotics and monitoring technologies were presented and discussed. The workshop was completed by 2 seminars entitled ‘Model-based & hybrid condition monitoring of mechatronic systems’ and ‘Process automation & Monitoring Systems’.
Agenda
PUBLIC TECHNICAL WORKSHOP and MOIRA Scientific-Skills training course | Wednesday 5th
IEEE Robotics & Automation Society |
13:45 | 14:00 | Arrival |
14:00 | 14:30 | 2nd Public Workshop Welcome & Company presentation IKERLAN S. COOP. | ||
14:30 | 15:30 | Precision Control in Industrial Mobile Manipulators: Challenges and Solutions Naroa Nuñez (IKERLAN)
Model-Based Trajectory planning Implementation and Intelligent Refinement Daniel Bilbao (IKERLAN) |
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15:30 | 16:00 | break | ||
16:00 | 17:00 | Alerion: industrial use case
Javier Aldazabal (ALERION) |
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17:00 | 18:00 | Tour: IKERLAN facilities (DIGILAB) | ||
18:00 | Close | |||
20:00 | Official Dinner at El Portalón (Vitoria-Gasteiz) | |||
8:45 | 9:00 | Arrival | ||
9:00 | 10:30 | Scientific Skills Training (S10 - Part 1)
Process automation & Monitoring Systems Jacopo Cavalaglio Camargo Molano (Tetra Pak), Marco Cocconcelli (University of Modena and Reggio Emilia) |
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10:30 | 11:00 | break | ||
11:00 | 12:30 | Scientific Skills Training (S10 - Part 2)
Process automation & Monitoring Systems Jacopo Cavalaglio Camargo Molano (Tetra Pak), Marco Cocconcelli (University of Modena and Reggio Emilia) |
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12:30 | 13:30 | Lunch | ||
13:30 | 15:30 | Automatic multi-sensor validation methods
Lan Jia (SIEMENS Industry Software NV) Onboard aircraft engine monitoring analyzing vibratory and sound signals captured by smartphones / tablets Fadi Karkafi (SAFRAN SA) Heterogeneous data fusion for monitoring of mines using robotic devices Mohammad Siami (AMC VIBRO) Transfer learning for predictive engineering analytics in fleets Deepti Kunte (SIEMENS Industry Software NV) |
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15:30 | 16:00 | break | ||
Thursday 6th | 16:00 | 18:00 | Remaining fatigue-life prediction of heavily loaded uncertain industrial systems Benjamin Tapia (IKERLAN)
Enhancing infrastructure monitoring using a FMEA-based systematic and holistic system analysis Atabak Mostafavi (Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.V) Modelling & analysis of long term heterogeneous historical data of time varying complex systems in presence of impulsive noise for condition monitoring Hamid Shiri (Wroclaw University of Science and Technology) A Hybrid Prognostic Methodology for Aircraft Systems Felix Fu (Cranfield University) |
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18:00 | Close | |||
Friday 7th | 8:45 | 9:00 | Arrival | |
9:00 | 10:30 | Scientific Skills Training (S9 - Part 1)
Industrial applications of condition monitoring and asset management Urko Leturiondo (IKERLAN), Ana Gómez (IKERLAN), Angel Rodríguez (IKERLAN) |
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10:30 | 11:00 | break | ||
11:00 | 12:30 | Scientific Skills Training (S9 - Part 2)
Model-based & hybrid condition monitoring of mechatronic systems Konstantinos Gryllias (Katholieke Universiteit Leuven) |
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12:30 | 13:30 | Lunch | ||
13:30 | 15:00 | Human Cognition in Future Maintenance Operations in Autonomous Machines Parul Khanna (Luleå University of Technology)
Hybrid techniques for condition monitoring of motion control applications Jabbar Abdul (University of Modena and Reggio Emilia) Probabilistic Learning for Patient Health Monitoring Jenny Yang (University of Oxford) |
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15:00 | 15:30 | break | ||
15:30 | 17:30 | Improving virtual sensing by multi-complexity models
Mojtaba Ahani (Institut National des Sciences Appliquées de Lyon) Probabilistic fleet monitoring based on model manifold Achilleas Achilleos (Institut National des Sciences Appliquées de Lyon) Self-learning intelligent monitoring of cyber-physical system fleet Fabrizio De Fabritiis (Katholieke Universiteit Leuven) Wear monitoring of mechatronic systems under variable operating conditions by integration of heterogeneous data Douw Marx (Katholieke Universiteit Leuven) |
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17:30 | 18:00 | Closing remarks | ||
18:00 | Close |