AISTech 2022

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Time Series AI for Anomaly Detection and Diagnosis in Steel Production (Room 311)

Artificial intelligence (AI) and machine learning (ML) techniques have been used to solve complex operations problems. Applying ML and AI for anomaly detection and diagnosis at scale, however, has been a significant challenge. This paper discusses how Falkonry's Operational AI platform leverages ML/AI for automated detection and diagnosis of equipment in steelmaking. This methodology is scalable across use cases without the need for data scientists. Precedent detection of novel equipment conditions provides insight to maintenance operations that would otherwise have been missed. Such insights lead to proactive maintenance interventions, thus avoiding loss of production due to unexpected downtime events.