PREDICTIVE MAINTENANCE FOR IOT-OT ASSETS

Field assets fail on their own schedule, not the maintenance calendar. Sensor data that could predict failures sits unanalyzed, so downtime is unplanned and repair visits are reactive.

Actors

  • Maintenance Manager
  • OT Engineer
  • Field Services Lead

Systems / Vendors

  • PTC ThingWorx
  • AWS IoT Core
  • SAP PM

Business Question

"The sensor data showed that motor degrading for three weeks before it failed — why did we still find out from the breakdown?"

What SPoG Does

  • Analyzes IoT sensor data and OT infrastructure logs to forecast failures before they happen.
  • Schedules proactive maintenance in the window between prediction and failure.
  • Cuts unplanned downtime and turns emergency call-outs into planned visits.

Outcome Metrics

−45%

Unplanned downtime

−30%

Maintenance cost

6–8 wks

To first prediction model