Manivannan / Industry 4.0 - Predictive Maintenance - valve Public

Target: Cortex-M4F 80MHz Clone this project

Welcome to Edge Impulse, the largest community of edge AI developers!
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.

Industry 4.0 - Predictive Maintenance - valve

Audio

About this project

This public Edge Impulse project does not have a README yet. Clone this project to add new data or retrain this project, or to deploy this project to a device.

Data (241 samples)

View all

00000026.wav.2uvap3fh

ID: 85648010

Label: normal

Sample length: 10s

00000006.wav.2uv5cr4q

ID: 85648119

Label: abnormal

Sample length: 10s

00000102.wav.2uv5slt4

ID: 85648045

Label: abnormal

Sample length: 10s

00000022.wav.2uv5hb1c

ID: 85648110

Label: abnormal

Sample length: 10s

00000029.wav.2uvap4ru

ID: 85648004

Label: normal

Sample length: 10s

00000113.wav.2uvb6dic

ID: 85647929

Label: normal

Sample length: 10s

00000091.wav.2uv5sdc6

ID: 85648059

Label: abnormal

Sample length: 10s

00000072.wav.2uv5odts

ID: 85648071

Label: abnormal

Sample length: 10s

Model accuracy (Unoptimized (float32))

Validation set

90.4%

Test set

84.9%

On-device performance (Cortex-M4F 80MHz, Quantized (int8))

Latency

231 ms.

Peak RAM usage

53.6K

Flash usage

51.5K

Run this model

Scan QR code or launch in browser

Launch in browser

Dataset summary

Data collected

40m 10s

Sensor

audio @ 16KHz

Labels

abnormal, normal

Project info

Project ID	88839
Project version	1
License	No license attached
No. of views	39,466
No. of clones	26