Abstract: An intelligent elevator detecting system based on neural network is proposed in this paper.It can collect and store the running data of elevators continuously. Best wavelet packet basis is used to select the features of car's vertical vibration.Along with the horizontal signal features,a BP neural network is made to diagnose the jerk fault.The correction of the model is proved.So the system can provide referential data to the inspectors.