A robust model selection framework for fault detection and system health monitoring with limited failure examples: Heterogeneous data fusion and formal sensitivity bounds.
Roberto RocchettaQi GaoDimitrios MavroeidisMilan PetkovicPublished in: Eng. Appl. Artif. Intell. (2022)
Keyphrases
- model selection
- data fusion
- fault detection
- cross validation
- failure detection
- multi sensor
- statistical inference
- generalization bounds
- health monitoring
- fault diagnosis
- robust fault detection
- generalization error
- machine learning
- information criterion
- computational intelligence
- moving objects
- selection criterion
- expert systems
- feature selection
- data mining
- neural network