Predictive Maintenance
Condition monitoring. Predictive maintenance. Less downtime.
Recognise equipment problems earlier
A machine can keep running while its condition changes. JannMax helps connect vibration, current, temperature or other relevant signals with operating state and maintenance experience. We start with a specific equipment failure question, evaluate whether a warning is reliable, and define who checks it and what happens next. The aim is a useful maintenance decision, supported by evidence from the actual machine.
In practice
Spot bearing wear. Monitor vibration and temperature for early warning signs.
Track motor health. Compare current, speed and load to investigate changes.
Watch pressure losses. Use condition monitoring to guide leak and wear checks.
Act before downtime. Send machine context to the right maintenance team.
Learn from every repair. Use maintenance feedback to refine alerts and support better OEE.
Where JannMax can support you
- Equipment-criticality review
- Condition monitoring strategy
- Vibration, current and temperature signals
- Operating-state and load context
- Anomaly and failure-pattern evaluation
- Maintenance alerts with clear ownership
- Maintenance records and repair feedback
- Pilot validation before wider rollout
What we work towards with your team
Recognise changes that deserve attention.
Prepare maintenance around production.
Give the right people useful context.
A practical foundation for your project
From insight to action
Connect machine health data
Connect sensors, PLC signals and maintenance records to track equipment health. Start with vibration, current, temperature or pressure, matched to your failure risks.
Turn alerts into action
Give maintenance teams clear alerts, machine context and practical next steps. Prioritize critical equipment, check operating conditions, assign alert ownership and use repair feedback to improve warnings.
Let’s discuss your project.
Predictive Maintenance
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