TrendMiner predictive analytics software 2.0 for process industries

Jul. 6, 2017 – TrendMiner, a provider of self-service predictive analytics software, has released its TrendMiner 2.0 software, which it says focuses on extending the capabilities for diagnostics, collaboration and advanced user administration.

TrendMiner software is based on an analytics engine for process data captured in time series. According to the company, process engineers and operators can use the software to identify trends in their processes to optimize both efficiency and quality. Using multivariate pattern recognition, they can question the data directly without requiring help from a data scientist. The software provides self-service monitoring — this means that users can define a golden batch and fingerprint it, then set up multivariate alarms with predefined boundaries. TrendMiner monitors for these fingerprints and sends notifications to engineering or control room staff in the event of deviations or issues. The improved influence factor functionality in the new version points to causes or influences upstream in the production line and improves the capability to configure early warnings, explains TrendMiner, adding that this allows for better prediction of future process deviations and the ability to control production quality, reduce waste and manage energy consumption.