BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Paris BEGIN:DAYLIGHT DTSTART:20250330T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST END:DAYLIGHT BEGIN:STANDARD DTSTART:20241027T020000 TZOFFSETFROM:+0200 TZOFFSETTO:+0100 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20241121T150725Z UID:9A59CFC4-B1B9-49A2-8A6D-2B08D2807926 DTSTART;TZID=Europe/Paris:20241118T090000 DTEND;TZID=Europe/Paris:20241118T170000 DESCRIPTION:This Mini-Symposium aims to gather leading experts to discuss t he implementation and implications of recent advances for reliability anal ysis and maintenance planning\, specifically the integration of predictive maintenance\, AI\, digital twins and other related topics. There is much exciting new research on Digital Twins and AI that is making fundamental a dvancements in reliability and predictive maintenance. The increasing avai lability of condition-monitoring data has incentivized in recent years the development of machine learning for prognostics and diagnostics\, big dat a analytics\, generative AI. With these\, Digital Twins have also become i ncreasingly performant.\n\nYou are cordially invited to share your knowled ge and opinions\, and to learn more on the application of Digital Twins an d/or AI models to support reliability and predictive maintenance.\n\nSpeak er(s): Anne Barros\, Professor\, David Coit\, Professor\, Christophe Beren guer\, Professor\, Konstantinos C. Gryllias\, Professor\,\n\nAgenda: \n(Te ntative)\n8:30 – 9:00: Registration\, Welcome coffee\n9:00 – 9:30: Pro f. Anne Barros\, Centralesupélec France: Welcome speech\; Recent advancem ents in reliability and resilience at RRSC\, CentraleSupélec.\n9:30 – 1 0:25: Prof. Zhiguo Zeng\, Centralesupélec France: Empowering predictive m aintenance with digital twins and AI: An application on robots.\n10:25 – 10:35: Coffee break\n10:35 – 11:30: Prof. Janet Lin\, Lulea University of Technology\, Sweden: Industrial AI-Driven Maintenance and the Evolution of Digital Twins\n11:30 – 12:25: Prof. Konstantinos Gryllias\, KU Leuve n\, Belgium: Fault diagnosis based on digital twins and transfer learning\ n12:25 – 13:30: Lunch\n13:30 – 14:25: Prof. Giovanni Lugaresi\, KU Leu ven\, Belgium: Data-Driven Modelling of Digital Twins for Circular Product ion Systems\n14:25 – 15:20: Prof. Christophe Berenguer\, Grenoble INP\, France: On the degradation and RUL Control of Degrading Controlled Systems \n15:20 – 15:30: Coffee break\n15:30 – 16:25: Prof. Jie Liu\, Beihang University\, China: Causality-based representation learning for fault diag nosis of complex systems.\n16:25 – 17:20: Prof. Mihaela Mitici\, Utrecht University\, the Netherlands and Prof. David Coit\, Rutgers University\, USA: Predictive maintenance at the intersection between OR and ML – meth odological challenges and opportunities\n17:20 – 17:45: Closing cocktail \, announcement of next workshop\, discussions.\n\nVirtual: https://events .vtools.ieee.org/m/444163 LOCATION:Virtual: https://events.vtools.ieee.org/m/444163 ORGANIZER:raedabdullah@ieee.org SEQUENCE:2 SUMMARY:Emerging Techniques for Reliability and Predictive Maintenance Empo wering reliability and predictive maintenance with Digital Twins and AI URL;VALUE=URI:https://events.vtools.ieee.org/m/444163 X-ALT-DESC:Description: <br /><p>This Mini-Symposium aims to gather leading experts to discuss the implementation and implications of recent advances for reliability analysis and maintenance planning\, specifically the inte gration of predictive maintenance\, AI\, digital twins and other related t opics. There is much exciting new research on Digital Twins and AI that is making fundamental advancements in reliability and predictive maintenance . The increasing availability of condition-monitoring data has incentivize d in recent years the development of machine learning for prognostics and diagnostics\, big data analytics\, generative AI. With these\, Digital Twi ns have also become increasingly performant.</p>\n<p>You are cordially inv ited to share your knowledge and opinions\, and to learn more on the appli cation of Digital Twins and/or AI models to support reliability and predic tive maintenance.</p><br /><br />Agenda: <br /><p>(Tentative)<br>8:30 &nda sh\; 9:00: Registration\, Welcome coffee<br>9:00 &ndash\; 9:30: Prof. Anne Barros\, Centralesup&eacute\;lec France: Welcome speech\; Recent advancem ents in reliability and resilience at RRSC\, CentraleSup&eacute\;lec.<br>9 :30 &ndash\; 10:25: Prof. Zhiguo Zeng\, Centralesup&eacute\;lec France: Em powering predictive maintenance with digital twins and AI: An application on robots.<br>10:25 &ndash\; 10:35: Coffee break<br>10:35 &ndash\; 11:30: Prof. Janet Lin\, Lulea University of Technology\, Sweden: Industrial AI-D riven Maintenance and the Evolution of Digital Twins<br>11:30 &ndash\; 12: 25: Prof. Konstantinos Gryllias\, KU Leuven\, Belgium: Fault diagnosis bas ed on digital twins and transfer learning<br>12:25 &ndash\; 13:30: Lunch<b r>13:30 &ndash\; 14:25: Prof. Giovanni Lugaresi\, KU Leuven\, Belgium: Dat a-Driven Modelling of Digital Twins for Circular Production Systems<br>14: 25 &ndash\; 15:20: Prof. Christophe Berenguer\, Grenoble INP\, France: On the degradation and RUL Control of Degrading Controlled Systems<br>15:20 & ndash\; 15:30: Coffee break<br>15:30 &ndash\; 16:25: Prof. Jie Liu\, Beiha ng University\, China: Causality-based representation learning for fault d iagnosis of complex systems.<br>16:25 &ndash\; 17:20: Prof. Mihaela Mitici \, Utrecht University\, the Netherlands and Prof. David Coit\, Rutgers Uni versity\, USA: Predictive maintenance at the intersection between OR and M L &ndash\; methodological challenges and opportunities<br>17:20 &ndash\; 1 7:45: Closing cocktail\, announcement of next workshop\, discussions.</p> END:VEVENT END:VCALENDAR