Predictive maintenance for compressors
Predictive maintenance for compressors uses vibration, temperature, oil and process analysis to catch valve faults, bearing wear, fouling and efficiency loss — protecting one of the most expensive utilities to run and one whose failure can halt a whole plant's air or gas supply.
Why monitor compressors
Compressed air and process gas are expensive to produce and critical to operations, so a compressor failure is doubly costly: lost production plus a high-value repair. Compressors also degrade gradually — fouling and valve wear quietly raise energy use long before failure — so monitoring protects both uptime and the energy bill.
Common failure modes
- Valve wear and breakage (reciprocating)
- Bearing wear
- Rotor fouling and clearance loss
- Lubrication problems and oil contamination
- Overheating and efficiency degradation
- Imbalance and misalignment
Which monitoring techniques fit
- Vibration analysis
- Oil analysis for wear metals and contamination
- Temperature and pressure (process) monitoring for efficiency drift
- Ultrasound for valve and leak detection on reciprocating units
What the data shows
Rising discharge temperature or falling efficiency at constant load signals fouling or valve wear; vibration and oil-debris trends reveal bearing condition. Combined, they separate 'clean it', 'change valves' and 'plan an overhaul'.
Related guides
Compressed air efficiency
Compressed air is one of the most expensive utilities in a plant. Where the cost hides — leaks, over-pressure, artificial demand, poor control — and how to cut 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.
Software that helps
Augury
Machine health monitoring for rotating equipment using vibration and AI.
AVEVA Predictive Analytics
Early-warning analytics for critical process and power assets.
Seeq
Advanced analytics for time-series process data.