EdgeFD: An Edge-Friendly Drift-Aware Fault Diagnosis System for Industrial IoT.
Jiao ChenFengjian MaoZuohong LvJianhua TangPublished in: CoRR (2023)
Keyphrases
- fault diagnosis
- industrial systems
- gas turbine
- chemical process
- fault diagnostic
- expert systems
- neural network
- fault detection
- operating conditions
- fuzzy logic
- fault detection and diagnosis
- industrial processes
- monitoring and fault diagnosis
- power transformers
- bp neural network
- industrial applications
- rbf neural network
- condition monitoring
- rotating machinery
- electronic equipment
- multiple faults
- fault identification
- power plant
- fault detection and isolation
- fault tree
- edge detection
- electrical power systems
- tennessee eastman
- multi sensor information fusion
- non stationary
- friendly interface
- concept drift
- real time
- quality improvement
- computational intelligence
- knowledge base