Topic: Intelligent Maintenance 

Lecturer: Enrico Zio，Polytechnic University of Milan

Time: October 29, 2024 (Tuesday), 14:30-15:00, UTC+8

Venue: Lecture Hall, 1st floor of Yujiatou Library

Organizers: National Key Laboratory of Water and Land Traffic Control, Intelligent Transportation Systems Research Center（National Engineering Research Center for Water Transportation Safety), Innovation and Introduction Base for Intelligent Shipping and Maritime Safety Discipline, International Science and Technology Cooperation Base for Intelligent Shipping and Maritime Safety

Biography:

Prof. Enrico Zio is an IEEE Fellow and a Humboldt Research Award Winner. He is currently a 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. His Google Scholar H-index is 103 and he is in the top 2% of the World scientists, according to Stanford ranking.

Abstract: 

The advancement of monitoring capabilities and other technologies have enabled the abundant collection of knowledge, information and data (KID) on equipment operation and maintenance. Such KID can inform the assessment and prediction of equipment state, whose outcomes can be used for intelligent maintenance. In this keynote lecture, we look at the grown ability of elaborating equipment KID by machine learning algorithms to mine out information relevant to the assessment and prediction of the equipment functional state, and reflect on how to use these capabilities for intelligent maintenance.

Rewritten by: Zhou You

Edited by: Li Tiantian

Source: Intelligent Transportation Systems Research Center（National Engineering Research Center for Water Transportation Safety）