Real-time Maintenance and Predictive Analytics for Refrigerant dryer
The collaborative approach addresses challenges in maintaining a moisture-free air supply for optimal production and paint quality in the production line and paint shop respectively. Compressors are critical and expensive assets within a plant. These machines can provide a higher compression ratio but are costlier to maintain. The solution provided includes Condition Monitoring, Anomaly Detection, Vibration Analysis, and Remaining Useful Life (RUL) Prediction. A system to monitor and predict equipment conditions. This approach successfully identified deviations from standard operating conditions, alerting business users to act instantly and reduce downtime. Abnormal wave patterns detected by vibration sensors indicated potential imbalances, allowing for timely maintenance planning. Post-maintenance, vibration signals returned to normal, ensuring continued production efficiency.
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Real-time Maintenance and predictive analytics of refrigerant dryer