ESRA training - RAM & PHM 4.0
You are kindly invited to participate to the XXVI edition of the continuing education course:
RAM&PHM 4.0: Advanced methods for Reliability, Availability, Maintainability, Prognostics and Health Management of industrial equipment
The course is organized by the Department of Energy, Politecnico di Milano with the technical sponsorship of the European Safety and Reliability Association (ESRA), the IEEE – Reliability Society (Italian Chapter), ARAMIX Srl, MINES Paris-PSL University, Centre de Recherche sur les Risques et les Crises (CRC)(France).
The European Safety and Reliability Association (ESRA, https://esra.website) provides further support to the course by also financing two scholarships to cover the registration fee of two PhD students.
The expected participants to the course are plant, process, quality, safety and maintenance engineers, asset managers, data scientists, researchers and PhD students working and studying in the areas of Reliability, Availability, Maintainability and Safety (RAMS), and of Prognostics and Health Management (PHM).
The goal of the course is to provide participants with advanced methodological competences, analytical skills and computational tools to effectively operate in the areas of reliability, availability, maintainability, safety, diagnostics and prognostics of components, systems and infrastructures.
The program offers lectures on advanced (Artificial Intelligence, Machine Learning) methods for the Reliability, Availability, Maintainability and Safety (RAMS) analysis of complex systems, and on Prognostics and Health Management (PHM) for condition-based and predictive maintenance.
Hands-on sessions are also carried out to allow the participants to directly apply the methods explained in the lectures to practical case studies (MATLAB and/or PHYTON will be used).
The course will be held in hybrid setting (both physical and virtual attendance is allowed) at the Department of Energy - Politecnico di Milano, Campus Bovisa La Masa, 20156, Milano, Italy from 18/11/2024 to 20/11/2024.
RAM&PHM 4.0: Advanced methods for Reliability, Availability, Maintainability, Prognostics and Health Management of industrial equipment
The course is organized by the Department of Energy, Politecnico di Milano with the technical sponsorship of the European Safety and Reliability Association (ESRA), the IEEE – Reliability Society (Italian Chapter), ARAMIX Srl, MINES Paris-PSL University, Centre de Recherche sur les Risques et les Crises (CRC)(France).
The European Safety and Reliability Association (ESRA, https://esra.website) provides further support to the course by also financing two scholarships to cover the registration fee of two PhD students.
The expected participants to the course are plant, process, quality, safety and maintenance engineers, asset managers, data scientists, researchers and PhD students working and studying in the areas of Reliability, Availability, Maintainability and Safety (RAMS), and of Prognostics and Health Management (PHM).
The goal of the course is to provide participants with advanced methodological competences, analytical skills and computational tools to effectively operate in the areas of reliability, availability, maintainability, safety, diagnostics and prognostics of components, systems and infrastructures.
The program offers lectures on advanced (Artificial Intelligence, Machine Learning) methods for the Reliability, Availability, Maintainability and Safety (RAMS) analysis of complex systems, and on Prognostics and Health Management (PHM) for condition-based and predictive maintenance.
Hands-on sessions are also carried out to allow the participants to directly apply the methods explained in the lectures to practical case studies (MATLAB and/or PHYTON will be used).
The course will be held in hybrid setting (both physical and virtual attendance is allowed) at the Department of Energy - Politecnico di Milano, Campus Bovisa La Masa, 20156, Milano, Italy from 18/11/2024 to 20/11/2024.
Informatie
Datum | 18-11-2024 |
Einddatum | 20-11-2024 |
Sluitingsdatum | 13-09-2024 |
Max. deelnemers | 100 |
Aantal plaatsen | 100 |
Prijs per persoon | €2,500.00 |
Locatie | Technische Universiteit Milan |