Fault Location in Power Distribution Systems via Deep Graph Convolutional Networks.
Kunjin ChenJun HuYu ZhangZhanqing YuJinliang HePublished in: CoRR (2018)
Keyphrases
- power distribution systems
- deep learning
- betweenness centrality
- fully connected
- structured data
- fault diagnosis
- graph theory
- location information
- community discovery
- small world
- weighted graph
- complex networks
- power system
- random walk
- connected components
- graph structure
- average degree
- graph model
- social networks
- fault detection
- directed graph
- graph structures
- random graphs
- edge weights
- graph theoretic
- graph representation
- fault model
- highly connected
- network analysis
- graph matching
- network size
- artificial neural networks
- dynamic networks
- biological networks
- decision making
- conditional random fields
- network structure
- spanning tree
- graph databases
- graph mining
- directed acyclic graph
- sparse coding