Plenary Speaker: Diego Galar
Virtual assets and virtual commissioning: Digitization in Industry 4.0
Lulea University of Technology / Tecnalia
Dr. Diego Galar is Professor of Condition Monitoring in the Division of Operation and Maintenance Engineering at LTU, Luleå University of Technology where he is coordinating several H2020 projects related to different aspects of cyber physical systems, Industry 4.0, IoT or industrial Big Data. He was also involved in the SKF UTC centre located in Lulea focused on SMART bearings and also actively involved in national projects with the Swedish industry or funded by Swedish national agencies like Vinnova.
He is also principal researcher in Tecnalia (Spain), heading the Maintenance and Reliability research group within the Division of Industry and Transport.
He has authored more than five hundred journal and conference papers, books and technical reports in the field of maintenance, working also as member of editorial boards, scientific committees and chairing international journals and conferences and actively participating in national and international committees for standardization and R&D in the topics of reliability and maintenance.
In the international arena, he has been visiting Professor in the Polytechnic of Braganza (Portugal), University of Valencia and NIU (USA) and the Universidad Pontificia Católica de Chile. Currently, he is visiting professor inUniversity of Sunderland (UK), University of Maryland (USA), and Chongqing University in China.
For complex assets, much information needs to be captured and mined to assess the overall condition of the whole system including the one from design and manufacturing which obviously contains the physical knowledge. Therefore, the integration of asset information during the entire lifecycle is required to get an accurate health assessment of the whole system.
Moreover, the lack of data on advanced degraded states due to early replacements and "black swans" makes the data-driven approach vulnerable to such situations. The risk related to these scenarios, despite their low latency, is not acceptable, especially for assets for which safety is a must. Therefore, there is a need to augment datasets before training data-driven algorithms. For this purposeData covering a wider range of scenarios can be obtained by synthetic data generated by physics-based models. These models need to be realistic and provide meaningful and comparable information about the behavior of asset.
New technologies involving big data, cloud computing, IoT etc.. can help the use/owner/maintainer/designer to perform a virtual commissioning of the asset where it is digitized and virtualized combining the existing physical models with the data collected from the field and produce a digital twin containing both data driven and physical information. This virtualization allows the user to produce data regarding situations and scenarios which didn’t happen yet or are very rare. These new data sets ca be blindlyfused to obtain a hybrid model and go one step beyond the digital twins.
This talk will discuss the possibilities that lie within applying the analytics concept by the means of virtualization i.e virtual commissioning of the assets through hybrid data fusion and integration from a systems perspective.