As part of their agreement, Invasystems will adopt the Falkonry LRS machine learning system and empower well operation engineers to predict equipment and system failures. This is designed to help oil and gas operators reduce downtime and increase production by detecting patterns and conditions in existing operations data.
By Bill Lydon, Editor, Automation.com With Seeq, users now have an application to perform analytics and optimize operations on their own, without having to engage data scientists and other IT experts
Canvass Analytics announces partnership with True North Automation to facilitate predictive models o
Together, True North Automation and Canvass Analytics take process automation one step further by taking the outcome of the predictive model and automatically applying the prediction to the control system.
- Case Study
Arlanxeo, a joint venture between Saudi Aramco and LANXESS, is a chemical company that develops, manufactures and markets synthetic rubber and high-performance elastomers for use in various industries.
Rockwell Automation goals include co-creating to solve customer problems, accelerating innovation and identifying new emerging technologies that can help its manufacturing customers improve business performance by bridging the gaps between plant-floor and higher-level information systems.
- Case Study
The technology gives GLBC greater insight into the health of its beer-brewing machinery to help increase efficiency, improve quality and minimize downtime.
The Rate-Predictive Control (RPC) algorithm earned a United States patent in 2016 and is an inherently adaptive (or ‚Äúnaturally self-tuning‚Äù) process control algorithm.
With TrendMiner, process and mechanical engineers and operators can identify trends in their processes, look for similar trends in the past, fingerprint operating windows, monitor behavior, send notifications to engineering or control room staff and predict deviations in live processes.
The first two joint industry solutions powered by ABB Ability and Watson will bring real-time cognitive insights to the factory floor and smart grids.
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