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Before starting a root cause analysis to set up new monitors and alerts, engineers used TrendMiner to calculate steam balance.

Engineers used TrendMiner to create condition-based monitoring of fouling in a Pygas stripper so they knew the right time to clean.

Engineers used TrendMiner to learn when to clean the aeration elements used in biological wastewater treatment despite a high variance of variables.

Because pumps are such a critical part of the water treatment process, engineers needed a better way to know which pumps were online and which had failed.

Process experts used TrendMiner’s monitoring system to compare batches and learn optimal parameters for pH, moisture, and percent of unsulfated matter.