Pump Cavitation Detection with Edge AI
Detecting cavitation in pumps and hydraulic systems by analyzing vibration and acoustic patterns simultaneously. Cavitation — the formation and collapse of vapor bubbles in liquid — causes rapid erosion damage if undetected. Models classify vibration frequency patterns and acoustic signatures characteristic of cavitation onset, distinguishing them from normal flow noise. Dual-sensor approach using both accelerometer and microphone improves detection accuracy over single-sensor methods.
Hardware Requirements
| Minimum RAM | 64 KB |
| Minimum Flash | 512 KB |
| Sensor Inputs | accelerometer, microphone |
| Typical Model Size | 25 KB (quantized int8) |
Hardware Guides
No hardware guides for pump cavitation detection yet. Use the MCU Checker to find compatible hardware.
Industry Applications
Orchestrate Pump Cavitation Detection with ForestHub
Your devices run pump cavitation detection on-device. ForestHub on your Linux edge gateway ingests their results over MQTT/Modbus/OPC-UA, orchestrates the sense-reason-act loop as an auditable graph, and acts on the line — the LLM is one node among many.