Dataset Description

The dataset focuses on the detection and classification of the faults on electrical power transmission line using Machine Learning. The three phase currents and voltages of one end are taken as inputs in the proposed scheme.

G- Part of the fault line if 1, else 0.

C - Part of the fault line if 1, else 0.

B - Part of the fault line if 1, else 0.

A - Part of the fault line if 1, else 0.

Ia - Line current of phase A.

Ib - Line current of phase B.

Ic - Line current of phase C.

Va - Line voltage of phase A.

Vb - Line voltage of phase B.

Vc - Line voltage of phase C.

Sample submission: You should submit a CSV file with a header row and the sample submission can be found below:

Fault_Type

3

2

1

4

5

Saving Prediction File & Sample Submission

You can find more details on how to save a prediction file here: https://discuss.dphi.tech/t/how-to-submit-predictions/548 Etc.

Note that the header name should be ‘cost’ else it will throw an evaluation error.

Notebook Submission

Steps to follow to submit your notebook:

Go to the Notebook section on this challenge page
Click on the 'Upload Notebook' button on top left corner as shown in the image below:
Make sure to make the visibility of your notebook as 'public' while uploading the notebook.
Provide Notebook Title, Summary, add some tags, go to next, chose a file and click on Upload.

Data Sprint 98 - Electric Fault-Line Detection

Challenge Starts

Registration Ends

Challenge Ends