Predictive maintenance for chillers and refrigeration
Predictive maintenance for chillers and refrigeration uses performance analytics (approach temperatures, efficiency/kW-per-ton) plus vibration and oil analysis on compressors to catch fouling, refrigerant and lubrication problems before efficiency collapses or the unit trips.
Why monitor chillers and refrigeration
Chillers and refrigeration are major electricity users whose efficiency degrades quietly with condenser/evaporator fouling, refrigerant charge problems and compressor wear. Because cooling is often critical to process or product, an unplanned chiller trip is costly — and the early signs are clear in performance and vibration data.
Common failure modes
- Condenser and evaporator fouling
- Refrigerant undercharge, overcharge or leaks
- Compressor bearing and valve wear
- Lubrication problems and oil contamination
- Control and sensor faults
Which monitoring techniques fit
- Performance analytics (approach temperatures, kW/ton, efficiency trending)
- Vibration analysis on compressors
- Oil analysis
- Refrigerant-side pressure and temperature monitoring
What the data shows
A widening approach temperature and rising kW-per-ton at constant load signal fouling or charge problems; compressor vibration and oil-debris trends reveal mechanical wear. Trending efficiency shows the cost-justified time to clean or service.
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Software that helps
Schneider EcoStruxure
IoT platform for energy and plant resource management.
AVEVA Predictive Analytics
Early-warning analytics for critical process and power assets.
Seeq
Advanced analytics for time-series process data.