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基于传输线理论提出机车信号感应电压幅值包络仿真模型,利用机车信号感应电压与轨道电路信号电流的线性映射关系,分析补偿电容故障对机车信号感应电压幅值包络的影响规律,给出基于遗传算法的轨道电路故障综合诊断方法。以补偿电容和道砟电阻为决策变量,以实际的和仿真的机车信号感应电压幅值包络间差值的最小化为目标,构造适应度函数,通过对种群个体进行选择、交叉和变异等遗传操作,得到当前状态下各决策变量的最优值,从而实现轨道电路故障的综合诊断。实验表明,将遗传算法引入到轨道电路的故障诊断领域,利用机车信号的实际记录数据,能够对无绝缘轨道电路中多个补偿电容故障以及道砟电阻波动等情况作出正确的综合评判,从而弥补了目前检测方法的不足,为轨道电路的故障诊断提供了新的有效手段。
Based on the transmission line theory, the amplitude envelope model of locomotive signal induced voltage is proposed. By using the linear mapping relationship between the induced voltage of locomotive signal and the signal current of locomotive circuit, the influence law of compensation capacitance fault on the amplitude envelope of locomotive signal induced voltage is analyzed. Genetic Algorithm Based Orbit Circuit Fault Diagnosis Method. Taking compensation capacitance and resistance as decision variables, this paper aims at minimizing the difference between the amplitude envelope of actual and simulated locomotive signal induced voltage and constructing a fitness function. By selecting, crossing and mutating individual populations Genetic operation, get the optimal value of the decision variables in the current state, in order to achieve a comprehensive diagnosis of rail circuit fault. Experiments show that the genetic algorithm is introduced into the field of fault diagnosis of orbital circuit. By using the actual recorded data of locomotive signals, it is possible to make a correct and comprehensive evaluation on the fault of multiple compensation capacitors and the fluctuation of channel resistance in the uninsulated orbital circuit, The current detection method of the lack of track circuit fault diagnosis provides a new and effective means.