Research on Fault Diagnosis of Track Circuit Based on BFOA-PSO-GMM
In view of the huge track circuit system and various types of faults,this paper proposed a Gaussian mixture model that combines bacterial foraging optimization algorithm and particle swarm optimization algorithm to diagnose mul-tiple failure types of the track circuit.By fusing bacterial foraging optimization algorithm and particle swarm optimization algorithm to find the initial value suitable for the EM algorithm,the model effectively avoided the EM algorithm from fall-ing into local optima,resulting in the improvement of its fault diagnosis ability.Through the training and testing experi-ments on the measured data,it is shown that the fault diagnosis accuracy of the model is 31.85％higher than that of the original Gaussian mixed model,and 9.4％higher than the fault diagnosis accuracy of the improved model using the par-ticle swarm optimization algorithm,proving that the model is more effective in fault diagnosis of track circuits.
万方数据
维普
