Application of Mathematical Morphology based filters to detect a power swing-Reference-Cited by-同舟云学术

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Application of Mathematical Morphology based filters to detect a power swing

Published:2010-07 Issue: Volume: Page:
ISSN:
Container-title:IEEE PES General Meeting
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Author:

Gautam S,Brahma S M

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5577387/5588047/05589302.pdf?arnumber=5589302

Cited by 10 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. A non-contact current traveling wave fault location method for multi-terminal overhead power lines based on adaptive mathematical morphology;Electrical Engineering;2024-06-12

2. An Algorithm for Fast Fault Location and Classification Based on Mathematical Morphology and Machine Learning;2022 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT);2022-04-24

3. A Stockwell Transform-Based Approach for the Detection and Classification of High-Impedance Arc in Leaning Tree and Sphere gap;Lecture Notes in Electrical Engineering;2021

4. Application of Empirical Mode Decomposition and Support Vector Machine for the Classification of Arc Fault in Distribution Line;Lecture Notes in Electrical Engineering;2021

5. Classification of arc fault between broken conductor and high‐impedance surface: an empirical mode decomposition and Stockwell transform‐based approach;IET Generation, Transmission & Distribution;2020-10-02

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