A Hybrid Framework for Fault Detection, Classification, and Location—Part II: Implementation and Test Results-Reference-Cited by-同舟云学术

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A Hybrid Framework for Fault Detection, Classification, and Location—Part II: Implementation and Test Results

Published:2011-07 Issue:3 Volume:26 Page:1999-2008
ISSN:0885-8977
Container-title:IEEE Transactions on Power Delivery
language:
Short-container-title:IEEE Trans. Power Delivery

Author:

Jiang Joe-Air,Chuang Cheng-Long,Wang Yung-Chung,Hung Chih-Hung,Wang Jiing-Yi,Lee Chien-Hsing,Hsiao Ying-Tung

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx5/61/5910683/05779724.pdf?arnumber=5779724

Cited by 38 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Timeseries Fault Classification in Power Transmission Lines by Non-Intrusive Feature Extraction and Selection Using Supervised Machine Learning;IEEE Access;2024

2. Fault Detection on Power Transmission Line Based on Wavelet Transform and Scalogram Image Analysis;Energies;2023-12-04

3. Transmission Line Fault Localization With Mesh and Surface Analysis Using PCA Features;Electric Power Components and Systems;2022-02-07

4. Application of Poincaré analogous time-split signal-based statistical correlation for transmission line fault classification;Electrical Engineering;2021-08-02

5. Transmission Line Fault Classification under High Noise in Signal: A Direct PCA-Threshold-Based Approach;Journal of The Institution of Engineers (India): Series B;2021-06-15

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