Eslam_32 / Green Box Predictive Maintenance Public

Target: Raspberry Pi 5 Clone this project

Welcome to Edge Impulse, the largest community of edge AI developers!
This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.

Green Box Predictive Maintenance

About this project

This public Edge Impulse project does not have a README yet. Clone this project to add new data or retrain this project, or to deploy this project to a device.

Data (10,000 samples)

View all

ai4i2020.s8089

ID: 2376936937

Label: 0

Sample length: 1s

ai4i2020.s1128

ID: 2376885063

Label: 0

Sample length: 1s

ai4i2020.s7449

ID: 2376933227

Label: 0

Sample length: 1s

ai4i2020.s7901

ID: 2376935498

Label: 0

Sample length: 1s

ai4i2020.s6909

ID: 2376928949

Label: 0

Sample length: 1s

ai4i2020.s2698

ID: 2376897902

Label: 0

Sample length: 1s

ai4i2020.s8192

ID: 2376938052

Label: 0

Sample length: 1s

ai4i2020.s8930

ID: 2376944584

Label: 0

Sample length: 1s

Model accuracy (Unoptimized (float32))

Validation set

100.0%

Test set

100.0%

On-device performance (Raspberry Pi 5, Unoptimized (float32))

Latency

1 ms.

Flash usage

12.5K

Run this model

On any device

Clone project

Dataset summary

Data collected

2h 46m 40s

Sensors

Air temperature [K], Process temperature [K], Rotational speed [rpm], Torque [Nm], Tool wear [min], TWF, HDF, PWF, OSF, RNF @ 1Hz

Labels

0, 1

Project info

Project ID	825137
License	3-Clause BSD
No. of views	18,333
No. of clones	0