Process experts used TrendMiner to identify correlations between the ambient temperature and the power output of the cooler.
To optimize the relationship between wind speed and power generation, operational experts at this wind farm used TrendMiner.
Learn how you can use self-service analytics software to reduce downtime by setting up anomaly detection models.
Optimize your conveyor belt performance with TrendMiner. Detect patterns and prevent downtime to increase efficiency and reduce maintenance costs.
A drop in sulfur recovery could have environmental and regulatory effects, so engineers used TrendMiner to save this solution for the future.
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.
Engineers used TrendMiner to learn when to clean the aeration elements used in biological wastewater treatment despite a high variance of variables.
