Performance Perception Method for Track Circuit Tuning Area Based on PSO-GA
To solve the problem of the inability of the existing fault diagnosis method for ZPW-2000A track circuit to dy-namically perceive the changes in the working performance of the tuning area,this paper proposed a tuning area perform-ance perception method based on the dynamic detection data from the comprehensive inspection train by combining parti-cle swarm optimization(PSO)and genetic algorithm(GA).First,based on transmission line theory,the interference signals in the adjacent sections of the tuning area were modeled.Combined with the dynamic detection data,a multi-ob-jective optimization model was constructed.Moreover,PSO-GA was used as the optimization strategy to invert and solve the optimization model.Finally,through calculating impedance of the equipment based on the obtained parameter re-sults,the causes of performance degradation and the hidden trouble spots in the tuning area were determined.The results show that the method in this paper can effectively achieve dynamic perception of the performance of the tuning area,and can accurately identify the location of abnormal equipment according to the perceived hidden problems,thus saving ma-intenance time and providing a new method for the preventive maintenance and condition maintenance of the ZPW-2000A track circuit.
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