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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00000098.wav.2ukpvqrh

ID: 85648547

Label: abnormal

Sample length: 10s

00000034.wav.2ukpud8d

ID: 85648600

Label: abnormal

Sample length: 10s

00000066.wav.2ukq4ar4

ID: 85648457

Label: normal

Sample length: 10s

00000021.wav.2ukptsga

ID: 85648601

Label: abnormal

Sample length: 10s

00000064.wav.2ukpv1gf

ID: 85648567

Label: abnormal

Sample length: 10s

00000120.wav.2ukq0e29

ID: 85648528

Label: abnormal

Sample length: 10s

00000135.wav.2ukq5q5p

ID: 85648402

Label: normal

Sample length: 10s

00000048.wav.2ukq3g37

ID: 85648473

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	42,345
No. of clones	36