PROGRAMS mapped on
Lessons learned

Several challenges limit the succesfull application of Predictive Maintenance in factories:

1. Lack of pre-existing maintenance data: Industry 4.0 is only slightly improving the deployment of tools for collecting data
2. Difficult data synchronization: existing data is saved into tens of different formats and with different sampling frequencies
3. Lack of sensors data relative to equipment fault status: equipment is never purposefully left to reach such a degraded status and, even then, faults happens only few times a year (so there is an high chance of never seeing faults during project duration).