Study of data-based hybrid algorithm on track circuit fault diagnosis
Jiang Da-ming · Journal of Beijing Jiaotong University · 2012
A neural fault diagnosis network based on data for railway track circuit is presented in this paper.Firstly,BP-LM-PSO-GA hybrid algorithm which meets the requirements of speed and effectiveness in neural network training is designed considering railway application.Secondly,taking dominant ZPW-2000A-type track circuit for example,the rapidity and effectiveness of fault diagnosis are analyzed for fault diagnosis.Thirdly,track circuit is divided into many small neural networks so that the conclusion can be drawn by combining the results of these small neural networks.Finally,the steps of diagnosis for track circuit network are described.Simulation results show that this diagnostic network for track circuit is feasible and effective.This kind of new approach in fault diagnosis for track circuit reveals a promising solution.