Learn how you can support your company by leveraging the data in TrendMiner to achieve a more sustainable process
Learn how you can support your company by leveraging the data in TrendMiner to achieve a more sustainable process
Creating an Anomaly Detection Model to Prevent Plant Shutdown
All industries (iuc), Chemicals (iuc), Inspirational Use Cases, Use Cases PDF Plant Manager, Process Engineer Beginner Downtime Reduction, Machine Learning, Operational Performance, Predictive Maintenance Continuous, Machine Learning Chemical Chemicals, Generic Use CaseLearn how you can use self-service analytics software to reduce downtime by setting up anomaly detection models.
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Before starting a root cause analysis to set up new monitors and alerts, engineers used TrendMiner to calculate steam balance.
When a plant suffered from coking problems and shutdowns as its product cooled, engineers used TrendMiner to determine how to keep the factory operational.
A starch manufacturer requires a coagulator to operate continuously, so engineers used TrendMiner to find out why one was failing more frequently.