Manivannan / Industry 4.0 - Predictive Maintenance - valve Public

Target: Cortex-M4F 80MHz Clone this project

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Industry 4.0 - Predictive Maintenance - valve

Audio

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Data (241 samples)

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00000021.wav.2uvao069

ID: 85648016

Label: normal

Sample length: 10s

00000104.wav.2uv5snck

ID: 85648044

Label: abnormal

Sample length: 10s

00000029.wav.2uvap4ru

ID: 85648004

Label: normal

Sample length: 10s

00000084.wav.2uvb25hi

ID: 85647964

Label: normal

Sample length: 10s

00000090.wav.2uv5sbcp

ID: 85648055

Label: abnormal

Sample length: 10s

00000095.wav.2uvb3clu

ID: 85647954

Label: normal

Sample length: 10s

00000072.wav.2uvavrg6

ID: 85647974

Label: normal

Sample length: 10s

00000068.wav.2uv5ob1v

ID: 85648073

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

On any device

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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	30,222
No. of clones	24