predictive maintenance

Ricerca ed innovazione manutenzione 4.0 Marche
Research and
13 April 2020

Modeling, simulation and data analysis of industrial machines and energy systems are the real enabling factors for the effective adoption of all the innovative technologies that fall within Industry 4.0
As already mentioned in the research and innovation section, Digitarab enters into collaboration with the polytechnic university of the brands to study predictive maintenance methodologies by creating software that allows an integrated approach to these enabling factors.
The latter allows to reduce operating costs for companies that use and produce expensive equipment, predicting failures starting from the data received from the sensors and sending a warning to the technicians responsible to avoid further damage and unnecessary repairs.