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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00000101.wav.2ukpvtpn

ID: 85648543

Label: abnormal

Sample length: 10s

00000086.wav.2ukpvfh9

ID: 85648558

Label: abnormal

Sample length: 10s

00000046.wav.2ukpuh1n

ID: 85648586

Label: abnormal

Sample length: 10s

00000135.wav.2ukq5q5p

ID: 85648402

Label: normal

Sample length: 10s

00000083.wav.2ukpvfgp

ID: 85648556

Label: abnormal

Sample length: 10s

00000082.wav.2ukq4fie

ID: 85648444

Label: normal

Sample length: 10s

00000116.wav.2ukq09ph

ID: 85648533

Label: abnormal

Sample length: 10s

00000081.wav.2ukpve63

ID: 85648560

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

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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	45,955
No. of clones	38