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.
Process experts used TrendMiner to identify inlet and steam flow timeframes and help control steam loss in a two-part filtration process.
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.
Take control of your energy consumption with our Energy Management Dashboard. Monitor, analyze, and optimize your energy usage in real-time.
Before starting a root cause analysis to set up new monitors and alerts, engineers used TrendMiner to calculate steam balance.
