New Paper Published by Our Laboratory!

July 01, 2022

We are thrilled to announce the publication of a new research paper by our laboratory! This momentous achievement represents the culmination of hard work, dedication, and collaborative efforts from our brilliant team of researchers and scholars.

📖 Title: A machine learning-based approach for comprehensive fault diagnosis in transmission lines 👥 Authors: Isternândia Araújo França, Cynthia Wanick Vieira, Daniel Correa Ramos, Lara Hoffmann Sathler, and Eduardo G. Carrano 📅 Journal: Computers and Electrical Engineering 🔗 DOI/Link: 10.1016/j.compeleceng.2022.108107

Check out the abstract: “Faults in transmission lines can cause several problems to transmission utilities. An adequate diagnosis of such events can improve service restoration time and, consequently, asset availability. This work proposes a machine learning-based approach to diagnose transmission line faults. The oscillography files of the fault case are processed and applied to four different classifiers, which must identify: phases involved, electrical nature, impedance level, and, fault cause. The method, which is inherently robust regarding signal noise and lack of synchronization between relays, combines Decision Trees, feature engineering, and optimization to perform the fault diagnosis based only on relay measures. It was tested in two fault data sets, one containing 24,000 faults generated using a Real Time Digital Simulator and another one with 46 real faults. The results obtained were very promising, with accuracy values close to 100% for involved phase and fault nature, 90% for impedance level, and 80% for fault cause.”

You can access the full paper through the provided DOI/link, and we encourage you to read, share, and engage with the research.

Once again, we express our gratitude to everyone who played a part in making this publication a reality. We remain committed to advancing scientific knowledge and look forward to sharing more exciting research from our laboratory in the future!

Stay tuned for more updates!