Fault section diagnosis of power systems with logical operation binary gaining‐sharing knowledge‐based algorithm-Reference-Cited by-同舟云学术

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Fault section diagnosis of power systems with logical operation binary gaining‐sharing knowledge‐based algorithm

Published:2021-09-14 Issue:2 Volume:37 Page:1057-1080
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Xiong Guojiang¹^ORCID,Yuan Xufeng¹^ORCID,Mohamed Ali Wagdy²³^ORCID,Zhang Jing¹^ORCID

Affiliation:

1. Guizhou Key Laboratory of Intelligent Technology in Power System College of Electrical Engineering, Guizhou University Guiyang China

2. Operations Research Department, Faculty of Graduate Studies for Statistical Research Cairo University Giza Egypt

3. Department of Mathematics and Actuarial Science The American University in Cairo New Cairo Egypt

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22659

Reference48 articles.

1. Fault Diagnosis for Electrical Systems and Power Networks: A Review

2. A data-driven approach for fault time determination and fault area location using random matrix theory

3. Fault diagnosis method of distribution network based on time sequence hierarchical fuzzy petri nets

4. Cosine adaptive differential evolution for fault diagnosis of power transmission networks;Chen J;Autom Instrum,2021

5. A Review of Power System Fault Diagnosis with Spiking Neural P Systems

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4. An Efficient Binary Hybrid Equilibrium Algorithm for Binary Optimization Problems: Analysis, Validation, and Case Studies;International Journal of Computational Intelligence Systems;2024-04-22

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