Learn how you can use self-service analytics software to reduce downtime by setting up anomaly detection models.
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.
Engineers used TrendMiner to learn when to clean the aeration elements used in biological wastewater treatment despite a high variance of variables.
This chemical company used TrendMiner to find a hidden relationship between organic acids and wastewater quality after a certain time frame.
This plant lost 25% of the particles that dropped through its prill tower until engineers discovered while using TrendMiner that cooler temperatures made a better product.
