Digital twin for smart maintenance in the case of diagnostic and prognostic

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Nasim Fallahi



Recherche partenariat

Recherche partenaire principal

By having the cloud of data from the physical and mechanical mechanisms of machines, valuable information can be obtained for applying the next generation of the mechanism, maintenance and real behavioural of the mechanical systems by digital twin.

In fact, Identifying causes early suggest diagnosis to bring more reliability to the machine is one of the key factors in the related industries. Additionally,  our team is an expert in the ability to build the reference test and Standards.

what you can expect from our research team:

•Instaltion of sensors correctly, and online monitoring

•Collecting the cloud of data from different machines and mechanisms

•Online monitoring and prediction for smart maintenance

*Providing the Machine learning packages for further prediction and building a reliable ;

Our expert research team in Politecnico di Torino, Turin, Italy is ready for research cooperation in the field of the industries and advanced manufacturing field.


 Technologie aérospatiale
 Technologie de construction
 Agenda numérique pour l'Europe
 Fabrication industrielle
 Fabrication 2.0
 Mathématiques et Statistiques
 Industrie automobile
 Ingénieur industriel
 Mobilité intelligente
 Intelligence artificielle

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