Prediction jobs and risk indicators
Predictive Maintenance
Predictive maintenance is not a chart bolted onto a dashboard — it is the natural continuation of the measurement flow. Each new reading triggers an evaluation, the result is stored and enters threshold evaluation. Models are developed together, around your equipment and use case.
Capabilities
What the predictive module does
Uninterrupted model work
Models run separately from the rest of the platform, so trying or updating a model never stops the monitoring.
Definition-driven runs
Which prediction job runs for which asset and metric is set through definitions.
Backfill and replay
Jobs can be re-run over historical data; when a model changes, the past is re-evaluated.
Results wired to alerts
Prediction output enters the threshold engine; as risk rises an alert is raised and delivered to the team.
Outcomes
What you gain
The goal is not fortune telling — it is moving maintenance into a window before the stop.
- A planned maintenance window instead of unplanned downtime.
- Model work progresses without stopping the production platform.
- Predictions are measurable: re-run against history and compared.
Let's make your field visible
In a short demo we show how Track Thing works on your own assets.