Transformer Fault Type Prediction using DGA data.
Transformer Fault Type Prediction using dissolved gas analysis (DGA) data in ppm.
This project was done as part of my internship at the New York Power Authority. While the code is shared, I cannot share the data, but I have uploaded files to show how the data was formatted for the code to run. You can do your own preprocessing with your own dataset and still run the program if you want to.
Hello! I am very interested in this research you are doing! Would you mind sharing the data privately? My email is: [email protected]
Hello! Can you help please ? Нou have a following line in code
ratios = pd.read_csv('')
classes = pd.read_csv('')
test = pd.read_csv('')
test_classes = pd.read_csv('')
What csv does it refer to ?
data = pd.read_csv('')
this also
ratios = pd.read_csv('ratio_data_format.csv')
classes = pd.read_csv('corresponding_classes_format.csv')
test = pd.read_csv('?')
test_classes = pd.read_csv('?')
Also can you tell what ratios are there in ratio_data_format ?
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