Privacy-preserving intelligent fault diagnostics for wind turbine clusters using federated stacked capsule autoencoder.
Hao ChenXian-Bo WangZhi-Xin YangJia-ming LiPublished in: Expert Syst. Appl. (2024)
Keyphrases
- privacy preserving
- wind turbine
- fault diagnosis
- privacy preserving data mining
- wind speed
- privacy preservation
- power plant
- multi party
- vertically partitioned data
- fault detection
- expert systems
- privacy concerns
- data privacy
- wind farm
- neural network
- private information
- privacy preserving association rule mining
- privacy protection
- scalar product
- privacy sensitive
- horizontally partitioned data
- sensitive data
- sensitive information
- differential privacy
- preserving privacy
- data perturbation
- privacy preserving classification
- record linkage
- data sources
- privacy requirements
- naive bayesian classification
- intelligent systems
- data analysis
- fuzzy logic
- personal information
- privacy guarantees
- data publishing
- private data