A practical example of how a bearing temperature signal can become a maintenance workflow on the systems your team already uses.
A bearing temperature threshold workflow turns a temperature warning from condition monitoring into a maintenance workflow that can create a work order, assign an owner, check parts, update the asset record, and log evidence for audit.
A condition monitoring system identifies rising bearing temperature on a critical asset. The signal is already visible on a dashboard or in a telemetry feed. What usually is not defined is what should happen next: who gets notified, what gets checked, and what system gets updated. This page walks through what that workflow looks like.
Bearings run within a known temperature band under normal load. When that reading drifts upward and holds, it is an early indicator of lubrication breakdown, misalignment, or bearing wear, well before the failure itself. Condition monitoring systems, whether a dedicated vibration and temperature sensor or a broader IoT platform, typically already capture this reading. The signal is not new information. What is usually missing is a defined response.
Work starts while the fix is still routine, instead of after the bearing fails.
Planned servicing on a known window protects uptime instead of forcing unplanned downtime.
The workflow assigns an owner automatically, instead of the signal sitting in a queue.
Every step, from signal to outcome, is logged and available for review.
| Step | What happens |
|---|---|
| Signal | Bearing temperature crosses the defined threshold for three consecutive 15-minute intervals. |
| Rule | Check asset criticality, operating load, failure history, spare part availability, maintenance window, downtime impact, and approval requirement. |
| Workflow | Classify severity, create a work order in EAM or ERP, assign the maintenance owner, check technician and parts availability, notify operations, route approval if downtime is required, log the action. |
| System update | EAM/ERP work order, asset record, notification tools, operations log, and audit or BI layer are all updated. |
| Outcome | Maintenance starts earlier, downtime risk falls, and the decision trail is documented with evidence for review. |
A bearing temperature workflow does not require a new platform. It typically connects to some combination of:
Signal source and threshold
Rule logic and criticality weighting
Workflow steps and sequencing
Owners and escalation path
Approval requirements
System write-back
Exception handling
Audit evidence and handover assets
These related entries are not published yet. See what is live in the library →
Bring this workflow, or one from your own operation. In a Blueprint Session, we will help you assess the signal, rule, systems, owners, write-back path, and handover plan.