A blade condition monitoring system based on acoustic signature recognition: pickups adhesive-mounted inside the blade cavity continuously collect acoustic signals, and an in-hub data unit runs algorithm models to automatically identify early-stage blade damage signatures and upload fault audio.
A blade condition monitoring system based on acoustic signature recognition: pickups adhesive-mounted inside the blade cavity continuously collect acoustic signals, and an in-hub data unit runs algorithm models to automatically identify early-stage blade damage signatures and upload fault audio.
| Parameter | Value |
|---|---|
| Monitoring Principle | Acoustic Fingerprint Recognition (Digital Silicon MEMS Microphone + Edge Computing) |
| Sensor Configuration | Default 2 Microphones per Blade |
| Frequency Response | 20Hz ~ 20kHz |
| Sampling Frequency | Highest 96kHz |
| Data Collector | ARM Processor, RAM 4GB, Storage 16GB |
| Local Storage | ≥128GB Industrial grade eMMC |
| Communication Interface | ETH/WIFI |
| Operating Voltage | 220VAC/24VDC |
| Operating Ambient Temperature | (-40 ~ +70)℃ |
| Ingress Protection Rating | Microphone: IP65; Data Collector: IP55 |
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UNISUN ELECTRIC