Fault Detection AND Classification in Transmission Lines using Boosted Decision Tree-Reference-Cited by-同舟云学术

Fault Detection AND Classification in Transmission Lines using Boosted Decision Tree

Published:2023-06-09 Issue: Volume: Page:
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Container-title:2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)
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Author:

Prusty Rakesh Rosan¹,Mallick Ranjan Kumar¹,Nayak Pravati²,Mishra Sairam²

Affiliation:

1. Siksha ‘O’ Anushandhan deemed to be University,Electrical and Electronics Engineering,Bhubaneswar,India

2. Siksha ‘O’ Anushandhan deemed to be University,Electrical Engineering,Bhubaneswar,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10201653/10201654/10201760.pdf?arnumber=10201760

Reference17 articles.

1. Fault Detection and Classification in Transmission Line by Using Decision Tree;bhatnagar;2020 5th IEEE Int Conf Recent Adv Innov Eng ICRAIE 2020 - Proceeding,2020

2. High-Speed Decision Tree Based Series-Compensated Transmission Lines Protection Using Differential Phase Angle of Superimposed Current

3. A novel hybrid downsampling and optimized random forest approach for islanding detection and non‐islanding power quality events classification in distributed generation integrated system

4. Transmission Line Protection Using High-Speed Decision Tree and Artificial Neural Network: A Hardware Co-simulation Approach;fayyad;Electric Power Components and Systems,2022

5. Fault Classification in Transmission Line Using Empirical Mode Decomposition and Support Vector Machine

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2. A Fast Response Fault Detection Technique for HVAC Transmission Line Using Machine Learning;2023 10th IEEE International Conference on Power Systems (ICPS);2023-12-13