RAM&PHM 4.0: Advanced Methods for Reliability, Availability, Maintainability, Prognostics and Health Management of Industrial Equipment - Ed.25
| Program start date | Application deadline |
| 2024-11-18 | - |
Program Overview
This advanced program focuses on advanced methods for reliability, availability, and maintainability (RAM) analysis, as well as Prognostics and Health Management (PHM) for complex industrial systems. It equips participants with skills in data analytics, advanced RAM analysis, and PHM techniques for condition-based and predictive maintenance. The program prepares individuals for careers in fields related to RAM and PHM, enhancing safety, efficiency, and asset management in modern industries.
Program Outline
Objectives:
The course aims to equip participants with advanced methodological competences, analytical skills, and computational tools necessary to operate effectively in the areas of reliability, availability, maintainability, diagnostics, and prognostics of modern industrial equipment and systems. The program aims to improve safety, increase efficiency, manage equipment aging and obsolescence by setting up condition-based, predictive, and prescriptive maintenance and asset management strategies.
Outline:
Content:
- Advanced Methods for RAM Analysis: The course covers advanced methods for analyzing the availability, reliability, and maintainability of complex systems.
- Prognostics and Health Management (PHM): The program delves into PHM techniques for condition-based and predictive maintenance.
- Data Analytics: The course explores data analytics techniques, including Monte Carlo Simulation, nonlinear regression, Principal Component Analysis, Auto-Associative Kernel Regression, Artificial Neural Networks, Ensemble Systems, Deep Learning, Convolutional Neural Networks, Reservoir Computing, and Particle Filtering.
- Practical Case Studies: Participants engage in hands-on sessions applying the methods learned to practical case studies using MATLAB and/or PHYTON.
Structure:
The course is structured into three parts:
Lectures:
Lectures are delivered in English, covering advanced methods for RAM analysis and PHM.
Hands-on Sessions:
Participants engage in practical sessions applying the methods to case studies.
Real Applications:
The course showcases real-world applications of the methods.
Course Schedule:
- Start Date: 2024-11-18
- End Date: 2024-11-20
Teaching:
Teaching Methods:
- Lectures: Lectures are delivered in English.
- Hands-on Sessions: Participants engage in practical sessions applying the methods to case studies.
- Real Applications: The course showcases real-world applications of the methods.
Faculty:
- Director: ENRICO ZIO
- Co-Director: PIERO BARALDI
Unique Approaches:
The course emphasizes practical application through hands-on sessions and real-world case studies.
Careers:
Potential Career Paths:
- Control, process, quality, and maintenance engineers
- Asset managers
- Data scientists
- Data miners
- Researchers
- PhD students in the areas of RAM and PHM
Opportunities:
The program aims to equip participants with the skills and knowledge needed to excel in roles related to reliability, availability, maintainability, diagnostics, and prognostics of industrial equipment and systems.
Outcomes:
- Location: Campus Bovisa- Aula 0.12 - Via Lambruschini 4
- Department: DIPARTIMENTO DI ENERGIA
- Contact Person: GIULIA PERNICANO
Politecnico di Milano
Overview:
Politecnico di Milano is Italy's largest science-technology university, established in 1863. It is known for its scientific rigor and creativity, focusing on technology for humanity.
Services Offered:
Politecnico di Milano offers a wide range of services to its students, including:
Student accommodation:
The university provides various housing options for students.Canteens and cafes:
Students have access to dining facilities on campus.Libraries and archives:
The university boasts extensive library resources and archives.Spaces and study areas:
Students can find dedicated spaces for studying on campus.Stores and print centres:
The university provides convenient access to essential supplies and printing services.ICT Services:
Students have access to IT infrastructure and support.Prevention and Protection Service:
The university offers safety and security services.International Mobility:
The university encourages and supports international exchange programs.Equal opportunities and inclusion:
The university promotes inclusivity and equal opportunities for all students.Psychological wellbeing:
The university provides support services for student mental health.Sport and leisure:
Students can participate in various sports and leisure activities.Conventions and benefits:
The university offers discounts and benefits through partnerships.Work and collaborations:
The university facilitates opportunities for students to gain work experience and collaborate with companies.Student Life and Campus Experience:
The university offers a vibrant campus experience with various opportunities for students to engage in academic, social, and extracurricular activities. Students can benefit from:
Multiple campuses:
The university has campuses in Milan, Cremona, Lecco, Mantova, Piacenza, and Xi'an, providing diverse learning environments.International environment:
The university fosters a global community with international students and faculty.Student associations:
Students can join various associations and clubs based on their interests.Events and activities:
The university organizes numerous events, conferences, and workshops throughout the year.Key Reasons to Study There:
Strong academic reputation:
Politecnico di Milano is highly ranked in international rankings, known for its excellence in science and technology.Innovative teaching modules:
The university offers a wide range of innovative and multidisciplinary programs.Research excellence:
The university is a leading research institution with a strong focus on Artificial Intelligence.Career opportunities:
The university provides excellent career support and connections with industry partners.Sustainable development focus:
The university is committed to sustainability and social responsibility.Academic Programs:
Politecnico di Milano offers a comprehensive range of academic programs, including:
