Predictive maintenance uses sensor data and machine learning to forecast when equipment is likely to fail, so repairs happen just before breakdown rather than on a fixed schedule. Common in manufacturing, logistics and energy. A factory that monitors motor vibration can replace a bearing during planned downtime instead of losing a full production shift.
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