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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00000014.wav.2ukptqtn

ID: 85648607

Label: abnormal

Sample length: 10s

00000090.wav.2ukq4qlo

ID: 85648440

Label: normal

Sample length: 10s

00000032.wav.2ukq34mr

ID: 85648491

Label: normal

Sample length: 10s

00000059.wav.2ukpuudk

ID: 85648578

Label: abnormal

Sample length: 10s

00000138.wav.2ukq60h8

ID: 85648395

Label: normal

Sample length: 10s

00000076.wav.2ukq4c1t

ID: 85648450

Label: normal

Sample length: 10s

00000137.wav.2ukq60h8

ID: 85648396

Label: normal

Sample length: 10s

00000149.wav.2ukq637n

ID: 85648385

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	44,967
No. of clones	38