Implemented an AI-powered predictive maintenance platform for a large steel rolling mill. Vibration sensors, thermal cameras, and oil analysis data from 200+ critical assets are fed into machine learning models that predict failures 2–3 weeks in advance. Unplanned downtime reduced by 55%, extending mean time between failures (MTBF) by 40%.
