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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00000047.wav.2ukpukrh

ID: 85648585

Label: abnormal

Sample length: 10s

00000005.wav.2ukptpog

ID: 85648619

Label: abnormal

Sample length: 10s

00000075.wav.2ukq4b54

ID: 85648452

Label: normal

Sample length: 10s

00000040.wav.2ukq3c20

ID: 85648479

Label: normal

Sample length: 10s

00000020.wav.2ukptr7u

ID: 85648605

Label: abnormal

Sample length: 10s

00000055.wav.2ukpusv3

ID: 85648576

Label: abnormal

Sample length: 10s

00000068.wav.2ukpv54n

ID: 85648568

Label: abnormal

Sample length: 10s

00000038.wav.2ukpufir

ID: 85648593

Label: abnormal

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	37,322
No. of clones	36