ESReDA Webinars on “Trustworthy Complex and Intelligent Systems” (8 June 2021)
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Prognostics and Health Management for Condition-based and Predictive Maintenance: A Look In and a Look Out

with
Enrico Zio
CRC MINES ParisTech, France
Politecnico di Milano, Italy

Tuesday, 8 June 2021
16:00 – 17:00 CET
Free Online Zoom Webinar

Zoom Registration: https://us02web.zoom.us/meeting/register/tZYlcuCoqjotHdx5gVCnm7gi1_w7RFuM1fRw

 

A number of methods of Prognostics and Health Management (PHM) have been developed (and more are being developed) for use in diverse engineering applications. Yet, there are still a number of critical problems which impede full deployment of PHM and its benefits in practice. In this lecture, we look in some of these PHM challenges and look out to advancements for PHM deployment.

Enrico Zio is full professor at the Centre for research on Risk and Crises (CRC) of Ecole de Mines, ParisTech, PSL University, France, full professor and President of the Alumni Association at Politecnico di Milano, Italy.

His research focuses on the modeling of the failure-repair-maintenance behavior of components and complex systems, for the analysis of their reliability, maintainability, prognostics, safety, vulnerability, resilience and security characteristics, and on the development and use of Monte Carlo simulation methods, artificial intelligence techniques and optimization heuristics.

In 2020, Professor Zio has been awarded the prestigious Humboldt Research Award from the Alexander von Humboldt Foundation in Germany.

Click to see the presentation (pdf)

Trustworthy Complex and Intelligent Systems Webinar Series

This series is a collaboration between the European Safety, Reliability & Data Association (ESReDA), the ETH Zürich Chair of Intelligent Maintenance Systems, ETH Risk Center, the Norwegian Research Center for AI Innovation (NorwAI) and DNV GL.

Webinars will be run monthly throughout 2021 exploring the themes of trust, ethics and applications of AI and novel technology in complex and safety critical intelligent systems.

For further information contact:

Siegfried Eisinger
[email protected]

Olga Fink
[email protected]

Elizabeth Traiger
[email protected]

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