EdgeFD: An Edge-Friendly Drift-Aware Fault Diagnosis System for Industrial IoT.
Jiao ChenFengjian MaoZuohong LvJianhua TangPublished in: ICCT (2023)
Keyphrases
- fault diagnosis
- industrial systems
- gas turbine
- chemical process
- fault detection
- industrial processes
- fault diagnostic
- expert systems
- neural network
- fuzzy logic
- industrial applications
- operating conditions
- edge detection
- fault detection and diagnosis
- fault detection and isolation
- electronic equipment
- condition monitoring
- rbf neural network
- monitoring and fault diagnosis
- power transformers
- rotating machinery
- fault tree
- bp neural network
- concept drift
- fault identification
- friendly interface
- multiscale
- failure diagnosis
- analog circuits
- power plant
- soft computing methods
- electrical power systems
- information fusion