Industrial predictive maintenance systems use high-frequency vibration sensors and edge AI to monitor rotating machinery such as motors, pumps, etc. Vibration signatures are collected at a 20kHz sampling rate, and machine learning models detect early bearing wear and misalignment. Maintenance teams can receive 2-4 weeks advance warning, reducing unplanned downtime by 60% and extending equipment life by 35% in a plant with more than 800 units.