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Erasmus+ BIP in Safe and sustainable e-rotors

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The “Safe and Sustainable e-Rotors” is an innovative teaching activity, which exploits interdisciplinarity to teach students within some strategic areas as Sustainable Energy, Artificial Intelligence, and Industry 4.0. Training satisfies a specific need of industrial stakeholders and companies for technicians educated within design, modeling, analysis, testing, condition monitoring of safety-critical rotating systems for an effective operation, control and predictive maintenance. 

 

Students participating to the BIP will achieve 10 ECTS. For PoliTO students the credits will be 6 curricular and 4 extracurricular.

Politecnico di Torino - DIMEAS, Italy (coordinator)
  • Prof. Eugenio Brusa  
Technical University of Darmstadt, Germany
  • Prof. Stephan Rinderknecht 
Aalto University, Finland 
  • Raine Viitala
Graz University of Technology, Austria 
  • Prof. Katrin Ellermann
Wrocław University of Science and Technology, Poland 
  • Prof. Agnieszka Wyłomańska 
Universitat Politècnica de Catalunya, Spain 
  • Prof. Alexandre Presas 

Virtual component: from 09/03/2026 to 27/03/2026 and from 27/4/2026 to 27/05/2026

In-presence component: from 13/04/2026 to 24/04/2026 (12 days)
The in-presence component will take place in Turin (TO)

Partner Universities students

Contact the International Mobility/Erasmus+ office of your university
 

Politecnico di Torino students

In order to apply it is necessary to fill in this form within March 5th 2026. 
Selected students will be contacted by email by March 6th 2026.

Teaching methods

Teaching and Learning activities are based upon: 

  • Lecture webinars in Pre-Stage 
  • Some lectures in Stage 
  • Flipped classes in Stage 
  • Live experiments in Labs during Stage 
  • Remotely controlled live experiments in Stage 
  • Tutorials in Stage 
  • Technical visits in Stage 
  • Short MOOCs to share additional examples of experiments in Stage 
  • Live interaction webinars in Post-Stage 
  • Live presentation on line by Students in final evaluation 
Online teaching activities (Pre-Stage activity)

Webinars on the following topics:

  • The e-rotor project: introduction and overview  
  • Introduction to structural dynamics 
  • Fundamentals of rotordynamics: transition from analytical to numerical models 
  • Introduction to signal analysis of rotating systems and diagnosis 
  • Non-stationary data stream classification and analysis 
  • Introduction to statistical-based analysis for condition monitoring 
  • Introduction to physical-based condition monitoring 
  • Introduction to AI -based condition monitoring  
  • Introduction to mechatronic systems 
  • Introduction to sensing and acquisition systems 
  • Torsional vibration in rotor dynamics and OpenTorsion demo 
  • Traditional mechanical aspects of torsional effects 
  • Electromagnetic effects (e.g., electric motors and their influence) 
  • The course in presence: details and planning 
In-presence teaching activities (12 days, Stage activity)

Each team manages one Stage; in each Stage are organized 12 slots of 2 hours, with some breaks, to be repeated three times in series, by changing topics and team: 

  • One slot introduces the stage and is exploited to present the research activities of teaching groups; 
  • Seven slots are used to teach theoretical issues, modelling and design approaches, numerical tools and software 
  • Two slots are fully dedicated to experiments, with data acquisition, elaboration, interpretation, discussion and reporting  
  • Two slots are used to perform technical visits in PoliTO Centres, Labs, and at industrial partners.  
  • Some social activities are foreseen out of working time to promote socialization among students (museum visit, dinners, small social events)
Online teaching activities (Post-Stage activity)

Webinars on the following topics:

  • Report task [1] System dynamics, sensing, actuation, control, monitoring, testing, damage, identification; 
  • Report task [2] Dynamic behavior of rotating systems, analytical and numerical modelling, digital twin and safety, industrialization in several technical domains; 
  • Report task [3] AI and advanced mathematics applied to signal elaboration, prognosis and diagnosis 

Students will reach a deeper knowledge and awareness within: 

  • Structural dynamics, damage phenomena related to vibration and safety
  • Rotors modelling, analysis, design, numerical methods applied to dynamic behaviour prediction, specifically under unbalance and dynamic instability effects;
  • Rotor testing and experimental analysis of vibration signals and use for diagnosis, prognosis and monitoring; 
  • Sensing, control, actuation and mechatronics applied to rotating systems;
  • Machine and rotor condition monitoring, damage and fault detection, warning, alarm, risk management and safety assurance;
  • AI, machine and deep learning methods applied to condition monitoring;
  • Non-stationary data stream classification and analysis andstatistical-based vs physical-based analysis for condition monitoring;
  • Applications to torsional vibration of rotating shaft, coupling effects with electromagnetic behaviour of electric motors, control and stabilization of spacecraft by electromechanical actuators, and magnetic bearings, relation between rotor dynamics and  fatigue and structural damage, even in marine systems, identification of bearings damages and faults by vibration analysis, fundamentals of tribology, rotor dynamic phenomena connected to gears mating and power transmission in aerospace and automotive applications. 

The course will increase capabilities in: 

  • integrated and multidisciplinary approaches to systems design; 
  • experimental set-up and testing; 
  • technical reporting; 
  • scientific method, through learning-by-doing and working in teams; 
  • goals and methods of doctoral education from testimonies of PhD students; 
  • interculturality. 

Expected impact includes: 

  • creating links between master and doctoral students; 
  • involving master students in co-designing new educational paths; 
  • involving doctoral students in innovative teaching modules; 
  • evolving disciplinary to multidisciplinary structure of courses; 
  • testing this format with few students, to identify critical issues, to design a hybrid course to be offered to a wider audience; 
  • strengthening collaboration between partners in teaching and learning; 
  • including other partners (associate) in the loop, without burdens for Unite!

Aims of the course:

  • teaching master students about enabling technologies of Industry 4.0/5.0, through an integrated and multidisciplinary approach; 
  • introducing students to experimental activity, through theoretical fundamentals, live testing, data elaboration and analysis, covering even safety and cybersecurity issues; 
  • providing a link between learning and industrial practice; 
  • promoting mobility; 
  • teaching students about reporting; 
  • introducing students to scientific method, through learning-by-doing and working in teams; 
  • involving doctoral students into a dialogue between younger generations; 
  • attracting students to doctoral education; 
  • promoting an intercultural experience between students; 
  • designing a joint programme upon Industry 4.0/5.0; 
  • involving students as co-designers of that joint programme. 
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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.