Detecting the Causal Structure of Risk in Industrial Systems by Using Dynamic Bayesian Networks.
Sylvia AndriamaharosoaStéphane GagnonRaul ValverdePublished in: Int. J. Inf. Technol. Syst. Approach (2022)
Keyphrases
- dynamic bayesian networks
- causal structure
- industrial systems
- bayesian networks
- industrial applications
- causal discovery
- causal relationships
- fault diagnosis
- complex systems
- causal models
- computational intelligence
- experimental data
- intelligent systems
- approximate inference
- structure learning
- particle filtering
- state variables
- observational data
- neural network
- artificial intelligence
- fuzzy logic
- decision making
- directed acyclic graph
- probabilistic inference
- graphical models
- conditional independence
- search space
- causal relations
- expert systems