High‐impedance fault detection and classification in power system distribution networks using morphological fault detector algorithm-Reference-Cited by-同舟云学术

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High‐impedance fault detection and classification in power system distribution networks using morphological fault detector algorithm

Published:2018-06-22 Issue:15 Volume:12 Page:3699-3710
ISSN:1751-8695
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation, Transmission & Distribution

Author:

Kavi Moses¹,Mishra Yateendra¹,Vilathgamuwa Mahinda D.¹

Affiliation:

1. Faculty of Science and EngineeringSchool of Electrical Engineering and Computer Science, Queensland University of TechnologyBrisbaneAustralia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2017.1633

Reference38 articles.

1. Modeling and detection of high impedance faults

2. High impedance fault detection: A review

3. Modeling and experimental verification of high impedance arcing fault in medium voltage networks;Darwish H.A.;IEEE Trans. Dielectr. Electr. Insul.,2007

4. A parameter‐based process for selecting high impedance fault detection techniques using decision making under incomplete knowledge;Kim C.;IEEE Trans. Power Deliv.,1990

5. High Impedance Fault Detection Based on Wavelet Transform and Statistical Pattern Recognition

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