Manivannan / Industry 4.0 - Predictive Maintenance - Pump Public

Target: Cortex-M4F 80MHz Clone this project

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Industry 4.0 - Predictive Maintenance - Pump

Audio

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Data (292 samples)

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00000122.wav.2ukq5iuo

ID: 85648410

Label: normal

Sample length: 10s

00000032.wav.2ukpud8f

ID: 85648595

Label: abnormal

Sample length: 10s

00000076.wav.2ukpvdie

ID: 85648563

Label: abnormal

Sample length: 10s

00000038.wav.2ukpufir

ID: 85648593

Label: abnormal

Sample length: 10s

00000067.wav.2ukq4ar4

ID: 85648461

Label: normal

Sample length: 10s

00000077.wav.2ukq4c30

ID: 85648453

Label: normal

Sample length: 10s

00000101.wav.2ukq4v4s

ID: 85648427

Label: normal

Sample length: 10s

00000116.wav.2ukq5itn

ID: 85648412

Label: normal

Sample length: 10s

Model accuracy (Unoptimized (float32))

Validation set

97.8%

Test set

93.5%

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

Latency

555 ms.

Peak RAM usage

40.7K

Flash usage

51.0K

Run this model

On any device

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Dataset summary

Data collected

48m 40s

Sensor

audio @ 16KHz

Labels

abnormal, normal

Project info

Project ID	88799
Project version	1
License	No license attached
No. of views	42,336
No. of clones	36