Machine learning technique for data-driven fault detection of nonlinear processes.
Maroua SaidKhaoula Ben AbdellafouOkba TaoualiPublished in: J. Intell. Manuf. (2020)
Keyphrases
- fault detection
- data driven
- industrial processes
- machine learning
- fault diagnosis
- fault identification
- failure detection
- tennessee eastman
- robust fault detection
- condition monitoring
- fault localization
- rotating machinery
- data mining
- artificial intelligence
- pattern recognition
- computational models
- fault detection and diagnosis
- gas turbine
- fault isolation
- search space
- quality improvement
- computational intelligence
- fuel cell
- real time