Semi-supervised Approach to Soft Sensor Modeling for Fault Detection in Industrial Systems with Multiple Operation Modes.
Shun TakeuchiTakuya NishinoTakahiro SaitoIsamu WatanabePublished in: AISI (2017)
Keyphrases
- fault detection
- fault diagnosis
- soft sensor
- industrial systems
- power plant
- industrial processes
- industrial process
- semi supervised
- fault identification
- expert systems
- condition monitoring
- tennessee eastman
- neural network
- computational intelligence
- fault detection and diagnosis
- industrial applications
- failure detection
- robust fault detection
- soft computing
- decision support system
- fault localization
- fault isolation
- fuzzy logic
- chemical process
- pairwise
- cooperative
- decision making
- machine learning