A weighted corrective fuzzy reasoning spiking neural P system for fault diagnosis in power systems with variable topologies.
Tao WangXiaoguang WeiJun WangTao HuangHong PengXiaoxiao SongLuis Valencia-CabreraMario J. Pérez-JiménezPublished in: Eng. Appl. Artif. Intell. (2020)
Keyphrases
- fuzzy reasoning
- fault diagnosis
- power system
- electrical power systems
- fuzzy logic
- neural network
- spike trains
- computational intelligence
- fuzzy sets
- feed forward
- membership functions
- fuzzy rules
- network architecture
- expert systems
- fuzzy inference
- bp neural network
- fuzzy control
- rbf neural network
- operating conditions
- control system
- active power
- artificial neural networks
- soft computing
- load forecasting
- fuzzy systems
- learning algorithm
- long term
- rule base
- evolutionary computation
- back propagation
- power plant
- transmission line
- artificial intelligence
- evolutionary algorithm