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)

15:30 16:00 break
16:00 17:00 Alerion: industrial use case 

Javier Aldazabal (ALERION)

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)

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)

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)

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)

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)

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)

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)

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)

17:30 18:00 Closing remarks
18:00 Close

 

 

 

 

 

 

 

Links to Presentations

Wednesday 19 June 2024

Thursday 20 June 2024

Firday 21 June 2024