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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00000088.wav.2ukq4r9n

ID: 85648438

Label: normal

Sample length: 10s

00000081.wav.2ukpve63

ID: 85648560

Label: abnormal

Sample length: 10s

00000121.wav.2ukq5iua

ID: 85648411

Label: normal

Sample length: 10s

00000092.wav.2ukq4ujk

ID: 85648441

Label: normal

Sample length: 10s

00000124.wav.2ukq5ius

ID: 85648409

Label: normal

Sample length: 10s

00000014.wav.2ukptqtn

ID: 85648607

Label: abnormal

Sample length: 10s

00000103.wav.2ukq4vub

ID: 85648425

Label: normal

Sample length: 10s

00000114.wav.2ukq5d1i

ID: 85648415

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	41,301
No. of clones	36