Research on sensor fault diagnosis based on RBF neural network

An in-line fault diagnosis method for multi-sensors based on RBF neural network is brought forward. Simulations are made for its application to the acceleration sensor of the tilting train, which indicates the method is active. The influences to the fault diagnosis by zero deviation are eliminated and the fault detection rate is improved as well as the reliability.