Fault Diagnosis Method for DC Distribution Networks Based on Semitensor Product Bayesian Networks-Reference-Cited by-同舟云学术

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Fault Diagnosis Method for DC Distribution Networks Based on Semitensor Product Bayesian Networks

Published:2023-10-18 Issue: Volume: Page:
ISSN:
Container-title:2023 6th International Scientific and Technical Conference on Relay Protection and Automation (RPA)
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Author:

Wang He¹,Li Shiqiang¹,Yu Huanan¹,Bian Jing¹,Wei Bo²

Affiliation:

1. Northeast Electric Power University,Ministry of Education,Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology,Jilin,China,132012

2. Northeast Electric Power University,Ministry of Education,Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology,Jilin, 132012,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10319809/10319815/10319866.pdf?arnumber=10319866

Reference13 articles.

1. A matrix analytic approach for Bayesian network modeling and inference of a manufacturing system

2. Fuzzy cellular fault diagnosis of power grid based on radial basis function neural network;xiong;Automation of Electric Power Systems,2014

3. Distribution Network Fault Diagnosis Method Based on Fault Degree Fusion of Multi-source Information;wu;Proceedings of the CSU-EPSA,2023

4. A new method to deduce complex fault of power grid based on Bayesian network;li;Power system protection and control,2020

5. A current-limiting and energy-transferring DC circuit breaker topology for DC distribution network

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