Monitoring industrial control systems via spatio-temporal graph neural networks.
Yue WangHao PengGang WangXianghong TangXuejian WangChunyang LiuPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- spatio temporal
- neural network
- control system
- industrial automation
- real time
- artificial neural networks
- monitoring system
- graph representation
- pattern recognition
- graph model
- graph theory
- spatial and temporal
- industrial systems
- spanning tree
- industrial applications
- multi layer
- image sequences
- self organizing maps
- structured data
- fuzzy logic
- directed acyclic graph
- weighted graph
- graph structure
- space time
- fault diagnosis
- moving objects
- back propagation
- graph matching
- closed loop
- connected components
- bipartite graph
- neural nets
- training process
- feed forward
- neural network model
- expert systems
- control law
- undirected graph
- spatio temporal data
- clustering algorithm
- genetic algorithm