A fatigue reliability assessment approach for wind turbine blades based on continuous time Bayesian network and FEA.
Zheng LiuZhenfeng HeLiang TuXin LiuHaodong LiuJinlong LiangPublished in: Qual. Reliab. Eng. Int. (2023)
Keyphrases
- reliability assessment
- wind turbine
- bayesian networks
- wind speed
- bp neural network model
- wind power
- finite element analysis
- wind farm
- power system
- probabilistic inference
- learning bayesian networks
- fault diagnosis
- wind energy
- incomplete data
- power generation
- markov chain
- optimal control
- markov processes
- random variables
- dynamical systems
- graphical models
- conditional probabilities
- structural learning
- structure learning
- conditional independence
- state space
- bayesian network inference
- causal relationships
- power plant
- rough sets
- electrical power
- neural network
- expert systems
- approximate inference
- software defect
- management system
- probability distribution
- probabilistic model
- data analysis
- genetic algorithm