Recently, Artificial Intelligence (AI) and Machine Learning (ML) techniques have been used to solve complex operations problems. However, scaling ML/AI across a multitude of equipment types and use cases, a variety of signals, and over time with changing operations remains a significant challenge. This paper discusses how Falkonry’s Operational AI platform learns, detects, and predicts conditions in continuous casting. This methodology is scalable across use cases and time without the need for data scientists. Precedent detection of impending equipment failures allows operations to schedule necessary maintenance interventions, thus avoiding loss of production due to unexpected downtime events.
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