The TE Connectivity white paper highlights how vibration sensors enable predictive maintenance in Industry 4.0. Condition-based monitoring (CBM) replaces scheduled maintenance by detecting faults early through real-time sensor data. Wireless options like BLE, LoRaWAN, and NB-IoT improve data accessibility, while VC MEMS sensors suit low-frequency monitoring and piezoelectric sensors detect high-frequency faults in turbines, gearboxes, and pumps. Signal analysis in both time and frequency domains provides insights into machine health, aided by anti-aliasing filters and FFT processing. With edge computing, AI, and ML, organizations gain real-time fault detection, anomaly recognition, and optimized maintenance strategies to cut downtime and costs.

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