Predictive maintenance for pumps
Predictive maintenance for pumps uses vibration, motor-current and process data to catch impeller wear, cavitation, seal failure, bearing defects and misalignment weeks before they cause a breakdown — so repairs are planned, not forced by a flooded or dry-run failure.
Why monitor pumps
Pumps are critical, run almost continuously, and fail in ways that are both expensive and avoidable. An unexpected pump failure can stop a whole process line, cause a spill, or destroy the pump itself through dry running. Because the early warning signs show up clearly in vibration and current data, pumps are one of the highest-return assets for a predictive programme.
Common failure modes
- Bearing wear and defects
- Mechanical seal failure and leakage
- Cavitation and recirculation
- Impeller erosion and imbalance
- Shaft misalignment and looseness
- Dry running and loss of prime
Which monitoring techniques fit
- Vibration analysis (the primary technique for rotating pumps)
- Motor-current / electrical signature analysis
- Bearing temperature monitoring
- Process monitoring of flow, pressure and power for cavitation and dead-heading
What the data shows
Rising bearing-frequency vibration points to bearing wear; broadband high-frequency noise suggests cavitation; a shift in the running point (flow vs power) reveals impeller wear or a closing valve. Tracking these against the pump's baseline turns a vague 'it sounds rough' into a dated, prioritised work order.
Related guides
Pump efficiency
Pumps are among the largest electricity users in industry, and many run far from their best efficiency point. Where pump energy is wasted — oversizing, throttling, wear — and how to recover it.
Predictive maintenance: a practical guide
What predictive maintenance is, how it differs from preventive maintenance, which techniques fit which assets, and how to start without boiling the ocean.
Motor efficiency and IE classes
Electric motors drive most industrial energy use. What the IE efficiency classes mean, when to replace versus repair, and why the driven system matters more than the motor.
Software that helps
Augury
Machine health monitoring for rotating equipment using vibration and AI.
Siemens Senseye Predictive Maintenance
Scalable predictive maintenance that learns from existing condition data.
AVEVA Predictive Analytics
Early-warning analytics for critical process and power assets.