Automatisation means:
  • Increased efficiency
  • Efficiency requires the continuous management of the processes and machinery involved in automation.

This is the reason why automation means maintenance.
Maintenance in the Industry 4.0 era is changing many things: there is lots of talk about:

  • IoT (Internet of things)
  • Cloud and Machine Learning.

With the new technologies it is possible to equip machines with sensors and systems that efficiently monitor what is happening in the device/system, analyse it, and report it in real time.
They can identify the relevant data, make diagnoses, and continuously capture data during the operation of the machine.

PREDICTIVE MAINTENANCE is related to this topic
The ongoing check-up of the machines and the collection of data within them facilitate the monitoring and allow intervention before the fault occurs, therefore, before unexpected downtime.

To make predictive maintenance possible, and implement it, two pillars of Industry 4.0 are extremely useful: MACHINE LEARNING
Machine Learning is the ability of machines to learn automatically from the past.

Thanks to these computational systems, it is possible to implement predictive maintenance 4.0 and prevent faults, problems, and unexpected events before they become a problem precisely because they can be anticipated, avoiding machine breakdowns or downtime.

Predictive Maintenance:

  • Improves processes
  • Reduces maintenance costs
  • Increased efficiency.