Manufacturing · Maintenance

Predictive maintenance

Models read machine signals on site and warn the maintenance team before a stoppage.

  • Edge gateway
  • Desktop
  • Works offline
Edge gateway assistantOn this device · no internet needed

Which spindle needs attention this week?

Spindle 3 on machine 7. Vibration has risen for four days, in the same pattern as the last bearing failure.

Is the spindle on line 2 at risk?

Vibration has risen 3 days in a row. Plan a bearing check at the next stop.

When is the next planned stop for machine 7?

Saturday at 06:00, a four-hour window in the maintenance plan.

Example conversation

The problem

Unplanned stops cost far more than planned maintenance, but warning signs are buried in sensor data no one has time to watch. Sending all machine data to the cloud is expensive and often not allowed. Teams end up servicing too early or too late.

Who uses it

Maintenance planners and technicians, with a gateway reading machine signals and a desktop in the maintenance office.

What you train it on

  • Sensor history
  • Maintenance records
  • Failure reports
  • Machine manuals

How it works on the device

  1. 1

    Reads signals on site

    The gateway reads vibration, temperature and current from your machines.

  2. 2

    Spots early patterns

    A model trained on your machines’ history flags patterns that came before past failures.

  3. 3

    Explains in plain words

    Planners ask which machines need attention and why, and get the evidence behind each warning.

Why it runs on the device

  • Earlier warnings

    Problems are flagged before they stop the line.

  • Data stays on site

    Machine data is processed on the gateway.

  • Explained, not just alarmed

    Every warning comes with the reason.

Questions

All use cases

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