Process experts used TrendMiner to identify correlations between the ambient temperature and the power output of the cooler.
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.
The purpose of this white paper is to demonstrate how TrendMiner can help accomplish these goals. By the end of the paper, water and wastewater experts will see how the advanced self-service data analytics platform empowers engineers and manufacturing process experts to resolve challenges without the help of a data scientist.
Discover the software, get technical information on all its key features, as well as practical examples of how these capabilities can help you every day.
Optimize your conveyor belt performance with TrendMiner. Detect patterns and prevent downtime to increase efficiency and reduce maintenance costs.
