Farzinkh/Partial_Discharge
This repository maintain codes and logs for "Partial Discharge Localization in Power Transformer Tanks Using Machine Learning Methods" article.
This project helps power engineers and maintenance professionals pinpoint internal faults in power transformers. By analyzing electric field measurements from a single sensor, it identifies the precise 3D location of partial discharges. This allows for early detection and targeted maintenance before major failures occur.
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Use this if you need to accurately localize partial discharges within power transformer tanks using single-sensor electric field data.
Not ideal if you are looking for a general-purpose anomaly detection tool for other types of electrical equipment or if you have multi-sensor data.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Jun 20, 2024
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