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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00000000.wav.2ukq29u6

ID: 85648508

Label: normal

Sample length: 10s

00000008.wav.2ukq2nqq

ID: 85648504

Label: normal

Sample length: 10s

00000082.wav.2ukpve5v

ID: 85648557

Label: abnormal

Sample length: 10s

00000013.wav.2ukptlaj

ID: 85648617

Label: abnormal

Sample length: 10s

00000069.wav.2ukq4arm

ID: 85648458

Label: normal

Sample length: 10s

00000063.wav.2ukq49jj

ID: 85648464

Label: normal

Sample length: 10s

00000002.wav.2ukq29u7

ID: 85648511

Label: normal

Sample length: 10s

00000101.wav.2ukq4v4s

ID: 85648427

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	37,468
No. of clones	36