Rivac LabsPredictive Maintenance (Manufacturing)
Unplanned downtime on a production line is one of the most expensive things that can happen to a manufacturer, and most maintenance schedules are still calendar-based rather than condition-based. This service builds a predictive maintenance model trained on your equipment's sensor data — vibration, temperature, current draw, cycle counts — to flag failure risk before a breakdown happens, not after. It's for manufacturers running equipment where unplanned downtime costs more than the sensors and monitoring needed to prevent it. The model integrates with your existing SCADA or historian data rather than requiring a new sensor network wherever usable data already exists. The result is maintenance scheduled around actual equipment condition, fewer emergency repairs, and less unplanned downtime.
How We’d Approach This
A clear, staged plan — not a black box
- 1
Diagnose current downtime incidents and audit what sensor and maintenance-log data already exists on the equipment.
- 2
Pilot the model on the highest-downtime-cost machine or line, validated against its actual failure history.
- 3
Review predicted failure windows and false-alarm rate with maintenance and operations before wider rollout.
- 4
Launch across the target fleet with alerts routed into your existing maintenance workflow and a human sign-off on every scheduled intervention.
What You Get
Deliverables from this engagement
- Trained predictive maintenance model for target equipment
- Real-time failure-risk dashboard integrated with maintenance workflow
- Validated model accuracy report against historical failure events
- Alert routing into your existing CMMS or maintenance ticketing system
- Ongoing model tuning as equipment and sensor data accumulate
Six Ways We Could Architect This
Different engagement, different build — pick the shape that fits
There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.
Ready to get started?
Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start — scoped small enough to prove itself before you commit to anything bigger.
Talk to us about Predictive Maintenance (Manufacturing)