Interpretable Fault Detection Approach With Deep Neural Networks to Industrial Applications.
Fatemeh KakavandiPeihua HanRoger De ReusPeter Gorm LarsenHouxiang ZhangPublished in: ICCAD (2023)
Keyphrases
- industrial applications
- fault detection
- neural network
- fault diagnosis
- industrial processes
- fault identification
- industrial systems
- condition monitoring
- tennessee eastman
- fault detection and diagnosis
- failure detection
- fuzzy logic
- fuel cell
- pattern recognition
- rotating machinery
- power plant
- fault isolation
- fault localization
- gas turbine
- artificial neural networks
- fault detection and isolation
- genetic algorithm
- operating conditions
- expert systems
- chemical process
- computational modeling
- robust fault detection