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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00000100.wav.2ukpvtqs

ID: 85648540

Label: abnormal

Sample length: 10s

00000048.wav.2ukpul6h

ID: 85648582

Label: abnormal

Sample length: 10s

00000098.wav.2ukpvqrh

ID: 85648547

Label: abnormal

Sample length: 10s

00000118.wav.2ukq5itq

ID: 85648414

Label: normal

Sample length: 10s

00000137.wav.2ukq60h8

ID: 85648396

Label: normal

Sample length: 10s

00000073.wav.2ukq4b52

ID: 85648449

Label: normal

Sample length: 10s

00000053.wav.2ukpumc6

ID: 85648577

Label: abnormal

Sample length: 10s

00000119.wav.2ukq5iu8

ID: 85648408

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

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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	49,732
No. of clones	38