An Approach on MCSA-Based Fault Detection Using Independent Component Analysis and Neural Networks.
Juan Enrique Garcia-BracamonteJuan Manuel Ramírez-CortésJose de Jesus Rangel-MagdalenoPilar Gómez-GilHayde Peregrina-BarretoVicente Alarcón AquinoPublished in: IEEE Trans. Instrum. Meas. (2019)
Keyphrases
- fault detection
- neural network
- fault diagnosis
- industrial processes
- fault identification
- fault detection and diagnosis
- tennessee eastman
- condition monitoring
- pattern recognition
- rotating machinery
- failure detection
- fuzzy logic
- fault localization
- fuel cell
- fault isolation
- gas turbine
- expert systems
- fault detection and isolation
- back propagation
- fuzzy sets
- artificial neural networks
- genetic algorithm
- databases
- robust fault detection
- constraint satisfaction
- experimental data
- mathematical model
- genetic programming
- control system
- data analysis
- artificial intelligence