On-line fault diagnosis and signal restoration of sensor based on RBF neural network
WENG Guirong, YE Ping(Coll of Mech Elct Engin,Suzhou University,Suzhou 215021, China)
A new approach of online fault diagnosis and signal restoration formed with RBF neural network is proposed. Also, the network structure and the learning algorithms are given. The RBF neural network is adopted to make online fault diagnosis and signal restoration. The simulation results show that this method has the properties of faster convergence, higher accuracy, better capability of generalization. And online failure of sensor for multiple workingsystems is identified and signal restoration is made. It can meet the needs of CMFD,separation and signal restoration of sensor.
【CateGory Index】： TP212