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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00000060.wav.2ukq49ip

ID: 85648463

Label: normal

Sample length: 10s

00000047.wav.2ukpukrh

ID: 85648585

Label: abnormal

Sample length: 10s

00000020.wav.2ukptr7u

ID: 85648605

Label: abnormal

Sample length: 10s

00000091.wav.2ukq4ujm

ID: 85648433

Label: normal

Sample length: 10s

00000026.wav.2ukq30ig

ID: 85648493

Label: normal

Sample length: 10s

00000098.wav.2ukpvqrh

ID: 85648547

Label: abnormal

Sample length: 10s

00000075.wav.2ukpvbu4

ID: 85648564

Label: abnormal

Sample length: 10s

00000057.wav.2ukputft

ID: 85648574

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	37,470
No. of clones	36