AI: Equipment health monitoring
Coming soonSee equipment health before it becomes downtime.
Equipment health monitoring would join vibration, motor current and temperature with what the machine was doing and its maintenance history, in one view maintenance can use to decide what to inspect first.
What it does
One health trend instead of five separate signals.
Sensor readings only mean something next to context. This view puts them beside whether the machine was running, at what speed, on which job, and what was last repaired.
- Combines vibration, motor current and temperature readings.
- Adds operating context from OEE: run or stop, speed and job.
- Keeps maintenance history for that equipment in the same view.
- Gives maintenance one trend to decide what to inspect first.
Sketch A. What a health view would combine
- Vibration
- Motor current
- Temperature
- Run or stop, speed, job
- Maintenance history
One health trend for the equipment
What it needs
Plant-specific data.
- Equipment sensor readings, such as vibration, motor current and temperature.
- Maintenance history for the equipment.
- Operating context from your OEE data.
How it works
How it is planned to work, in three steps.
Connect the signals
Equipment sensor readings and maintenance history are brought in next to your production data.
Add operating context
Run or stop, speed and job explain why a reading moved.
Watch one trend
A single health trend shows what to inspect first.
Tell us which equipment worries you.
Predicting motor failure depends on plant-specific data. Tell us what you already measure and we will talk through what is possible.