A sensor fault diagnosis method based on radial basis function（RBF）neural network time series predictor is proposed.RBF neural network is a good feed forward neural network with the best approximation and performance that can be used to overcome the problem of local minimum.The overload fault is given as model of pressure sensor.Time series predictor model of the sensor is set up by RBF neural network.The sensor output is predicted by using the above model.And then compared with the actual output of sensor to determine whether the sensor has fault.Fault data of the sensor is reconstructed.Simulation results confirm that this proposed method is effective for sensor fault diagnosis and data reconstruction.This method can be applied in other sensors.