Dr. Diego Galar
Professor of Condition Monitoring at LTU, Luleå University of Technology
Presentation title
Big data analytics and IoT in railway as enabler for digital rail services
Summary
Railway systems are complex with respect to technology and operations with involvement in a wide range of human actors, organizations and technical solutions. Indeed, the concept Railway 4.0 as a mirror copy of Industry 4.0 is a term that describes the digital generation of railway activity which is enabled by smart systems and Internet-based solutions. Two of the characteristic features of 4.0 revolution are computerization by utilizing cyber-physical systems and intelligent assets that are based on the concept of “internet of things”.
Operation and maintenance in railway is one of the application areas, in form of self-learning and smart systems that predicts failure, makes diagnosis and triggers O&M actions by making use of “internet of things” and further analytics. In this regard, 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 railway information during the entire lifecycle is required to get accurate health and performance assessment of the whole system.
IoT generates huge amount of data in different operational and contextual scenarios which help the use/owner/maintainer/designer to perform virtual commissioning of the railway asset and virtualize it combining the existing physical models with the data collected from the field by the means of IoT devices producing a digital twin containing both data driven and physical information. This talk will discuss the possibilities that lie within applying the IoT as a pillar for further analytics and servitization in railway by the means of virtualization.
Would you like to have a sneak peek to his presentation? Read the interview with Diego Galar about the conference.
Speaker biography
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 in University of Sunderland (UK), University of Maryland (USA), and Chongqing University in China.