The main objective of the NeuroCPS4Maintenance Experiment, financed with European funds by DIH4CPS, was to develop an anomaly detector based on neuromorphic technology for predictive maintenance.
The project was completed with a workshop restricted to members of the hub ecosystem, where the results obtained and their potential use were analysed.

In the workshop, the project partners (DIHBU, ITCL and INTIGIA) showed the basic technology of the prototype, as well as the results of the pilot implementation carried out as a test on an industrial press at the Gonvarri factory in Burgos.

The session took place on 30 August and was attended by members of the hub, both from industrial and technological environments, interested in this result and in potential applications for advanced predictive maintenance.

Workshop Video (Spanish)

Workshop Documents