The degradation of functional components of engineering assets represents the main need for predictive maintenance. Degradation is also a major sources of product defects. The Industrial Internet of Things and associated AI, Cloud and Edge Technologies allow today for an efficient Data Driven approach to optimise the lifecycle of engineering assets and get most of their value. There are two main technological approaches to do it: Predictive Maintenance and Zero Defect Manufacturing.  In this session we will present up-to-date research developments on the proposed topic obtained in the framework H2020 projects Z-BRE4K ( and BOOST 4.0 (

Key Takeaways

– Capturing the Meaning of Big Industrial Data
– Industrial Ontologies for Predictive Maintenance (
– Ontology Based Software Architectures for Predictive Maintenance


Speaker Bio

Prof. Dr. Dimitris Kiritsis (Kyritsis) is Faculty Member at the Institute of Mechanical Engineering of the School of Engineering of EPFL, Switzerland, where he is leading a research group on ICT for Sustainable Manufacturing. He serves also as Director of the doctoral Program of EPFL on Robotics, Control and Intelligent Systems (EDRS). His research interests are Closed Loop Lifecycle Management, IoT, Semantic Technologies and Data Analytics for Engineering Applications. He served also as Guest Professor at the IMS Center of the University of Cincinnati, and Invited Professor at the University of Technology of Compiègne, the University of Technology of Belfort-Montbéliard and at ParisTech ENSAM Paris. Prof. Kiritsis is actively involved in EU research programs in the area of Factories of the Future and Enabling ICT for Sustainable Manufacturing. He has more than 220 publications. Since September 2013 Dimitris is Chair of IFIP WG5.7 – Advanced Production Management Systems. From 2013 to 2017 he was member of the Advisory Group of the European Council on Leadership on Enabling Industrial Technologies – AG LEIT-NMBP. He is also founding fellow member of the International Society for Engineering Asset Management (ISEAM), of various international scientific communities in his area of interests including EFFRA and among the initiators of the IOF (Industrial Ontologies Foundry).

May 23 @ 16:20
16:20 — 16:50 (30′)

Stage 3 | Data Integration and Quality

 Program Day 1, Dimitris Kiritsis – Prof. Of ICT for Sustainable Manufacturing | EPFL