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Before starting a root cause analysis to set up new monitors and alerts, engineers used TrendMiner to calculate steam balance.
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.
Accelerate Root Cause Analysis & Improve Data-Driven Decision Making
Watch this webinar on demand to see how easy trend analysis can be; how to use the analytics capabilities to quickly find root causes for process anomalies and monitor operational performance and learn why thousands of users LOVE the new production client for each analytics maturity level and how they all can contribute to business outcomes.
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.
