Process experts used TrendMiner to identify correlations between the ambient temperature and the power output of the cooler.
In this video we will show you how to optimize your pasteurization unit by using TrendMiner`s self-service analytics
In this video we will show you how to optimize your CIP in the Food & Beverage industry by performing root cause analysis and reducing cycle time
Process experts used TrendMiner to identify inlet and steam flow timeframes and help control steam loss in a two-part filtration process.
A drop in sulfur recovery could have environmental and regulatory effects, so engineers used TrendMiner to save this solution for the future.
Engineers used TrendMiner to create condition-based monitoring of fouling in a Pygas stripper so they knew the right time to clean.
This petrochemical plant used TrendMiner to create energy balance models and determine when 17 bar steam consumption was excessive.
When a low-density polyethylene reactor suddenly shutdown after maintenance, engineers used TrendMiner to determine it was human error.
