Vibration Converter with Passive Energy Management for Battery-Less Wireless Sensor Nodes in Predictive Maintenance

Predictive maintenance is becoming increasingly important in industry and requires continuous monitoring to prevent failures anticipate processes, resulting reduced downtime. Vibration often used for failure detection equipment conditioning as it well correlated the machine’s operation its variation an indicator of process changes. In this context, we propose a novel energy-autonomous wireless sensor system that able measure without use batteries automatically deliver alerts once machine has anomaly by acceleration. For this, designed wideband electromagnetic energy harvester realized passive management supply node, which does not need external supply. The advantage solution circuit detect additional sensors, but Analog Digital Converter (ADC) Wireless Sensor Nodes (WSN) themselves, makes more compact have lower consumption. converter can harvest relevant levels from weak vibration, with acceleration 0.1 g frequency bandwidth 7 Hz. Further, energy-management enabled fast recharging super capacitor on maximum 31 s. consists six-stage voltage multiplier connected wide-band DC-DC converter, under-voltage lock-out (UVLO) connect storage device WSN. condition 13 Hz 0.3 g, time was estimated be 24 proposed validated implementing real scenarios random and, alternatively, modus. results show WSN directly harvester’s response decide about occurrence based characteristic threshold sensor.