Rotor-current-based fault detection for doubly-fed induction generator using new sliding mode observer.
Wenxin YuDan JiangJunnian WangRuiqi LiYang LuPublished in: Trans. Inst. Meas. Control (2020)
Keyphrases
- fault identification
- fault detection
- fed induction generator
- fault diagnosis
- underwater vehicles
- sliding mode
- industrial processes
- neural network
- tennessee eastman
- condition monitoring
- single phase
- power plant
- fault localization
- variable structure
- failure detection
- fault isolation
- fuel cell
- control scheme
- expert systems
- decision making
- sliding mode control
- computational intelligence
- evolutionary algorithm