To optimize the relationship between wind speed and power generation, operational experts at this wind farm used TrendMiner.
Process experts used TrendMiner to identify inlet and steam flow timeframes and help control steam loss in a two-part filtration process.
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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.
