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This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.
AI-driven HVAC Fault Diagnosis (Audio)
About this project
This Audio MFE neural network model detects anomalous sound originating from the HVAC system cooling fans:
- normal
- defective
After building my neural network model, I deployed my model as a fully optimized and customizable Arduino library and uploaded it to XIAO ESP32C6. Therefore, the device is capable of detecting anomalous sound emanating from the cooling fans by running the neural network model onboard without any additional procedures or latency.
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Dataset summary
Data collected
2m 57sSensor
audio @ 8KHzLabels
defective, normalProject info
| Project ID | 418121 |
| Project version | 1 |
| License | Apache 2.0 |
| No. of views | 5,533 |
| No. of clones | 8 |
