Operational AI suite to reduce planned and unplanned downtime across steel production operations. To be treated as actionable, maintenance and production teams need to get sufficient warning time ranging from 1 to 3 weeks depending on the issue, a specific failure mode, and an explanation of the root cause of warning behaviour, and a constantly updated time-to-failure that takes into account the benefit of temporary intervention measures.
Predictive operational excellence is critical to maximizing profitability by increasing overall equipment effectiveness. Falkonry, the innovation leader in Operational AI, provides a suite of applications for predictive operational excellence solutions including
Falkonry Clue for real-time learning, condition discovery, knowledge capture and dash boarding
Falkonry Workbench for early warning and event horizon estimation
Falkonry has added to its Operational AI suite a dynamic, asset- and process-agnostic method for event horizon estimation to be used for improving system-wide reliability. EHE builds upon real-time condition monitoring to predict time to failure TTF and remaining useful life RUL, without requiring system calibration runs or customized machine learning efforts. EHE is available to existing Falkonry Workbench customers.
Falkonry products integrate easily with a customer’s existing OT infrastructure and fit well with Ternium’s deployment model because they conveniently run in cloud environments such as Microsoft Azure while also allowing models to run independently as Analyzers on-premises in the plants.