Fault detection and identification spanning multiple processes by integrating PCA with neural network.
Jing ZhouAihuang GuoBranko G. CellerSteven W. SuPublished in: Appl. Soft Comput. (2014)
Keyphrases
- fault detection
- industrial processes
- neural network
- fault diagnosis
- principal component analysis
- fault identification
- fuel cell
- pattern recognition
- failure detection
- tennessee eastman
- fault localization
- fuzzy logic
- robust fault detection
- power plant
- principal components
- feature space
- face recognition
- back propagation
- intelligent systems
- condition monitoring
- quality improvement
- artificial neural networks
- expert systems
- fault detection and diagnosis
- feature extraction
- rotating machinery
- genetic algorithm
- databases