Keynote: Prof. Diego Galar
Prof. Diego Galar
Division of Operation and Maintenance Engineering,
Lulea University of Technology, Sweden
Date & Time: July 25 (Monday), 2016; 11:05am - 11:40am
LOCATION: East Ballrooms 6, 7, & 8
Death awareness has been attributed solely to human Beings. Most natural is the actualization of the awareness of death in connection with ageing. Therefore awareness in situations where there is actual danger to one’s life can be considered a key element for self-preservation and mission accomplishment. This awareness presumes concrete or situational thinking in order to take the most suitable “maintenance decisions” and expand/improve the lifespan.
New maintenance systems from Nano-level to system level must consider assets with these awareness skills for context adaptation in a bioengineering approach. Indeed, assets are complex mixes of complex systems. Each system is built from components which, over time, may fail. When a component does fail, it is difficult to perform diagnosis or prognosis because the effects or problems that the failure has on the system are often neither obvious in terms of their source nor unique, especially form external point of view. Therefore self-preservation from asset point of view is more need than ever.
The big data era with computer-based systems collecting huge amount of data should overcome some of the current issues and facilitate the provision of “death awareness” skills and self-preservation for our assets. That is why, the unprecedented rise of industrial data, its diversity and complexity over the past several is triggering and powering the development of such “asset skills” in order to be able to determine the cause of failures and their propagation, proposing optimum maintenance decisions many times self-repairmen and self-healing systems, while minimizing the need for human intervention. For that purpose, there is a real need of massive data collection for such complex assets where much information needs to be captured and mined to assess the overall condition of the whole system and get an accurate health assessment in order to proposed mitigating actions in order to minimize the risk, accomplish thee mission and preserve the integrity of the asset.
Prof. Diego Galar holds a M.Sc. in Telecommunications and a PhD degree in Design and Manufacturing from the University of Saragossa. He has been Professor in several universities, including the University of Saragossa or the European University of Madrid, researcher in the Department of Design and Manufacturing Engineering in the University of Saragossa, researcher also in I3A, Institute for engineering research in Aragon, director of academic innovation and subsequently pro-vice-chancellor.
He has authored more than three 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.
In industry, he has been technological director and CBM manager of international companies, and actively participated in national and international committees for standardization and R&D in the topics of reliability and maintenance.
Currently, he 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. He is also actively involved in national projects with the Swedish industry and also funded by Swedish national agencies like Vinnova.
In the international arena, he has been visiting Professor in the Polytechnic of Braganza (Portugal), University of Valencia and NIU (USA). Currently, he is visiting professor in University of Sunderland (UK) and University of Maryland (USA), also guest professor in the Pontificia Universidad Católica de Chile.