A Dynamic Risk Analysis Method for Compound Faults of Traction System of High Speed Train Based on Characteristic Variables

Yang Yue, Wei Dong, Xinya Sun, Xingquan Ji
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Abstract

The traction system of high-speed train has many faults, among which compound faults account for a certain proportion. Compared with single faults, compound faults will lead to more serious consequences. This paper takes the fault chain of compound fault of “CRH380D high-speed train traction inverter IGBT open circuit and motor speed sensor gain coefficient is too small” as an example, establishes a mathematical model of the fault chain based on the fault mechanism, and obtains the relationship between fault characteristic variables and traction motor failure rate by using relevant experimental data and national standards, thus obtains the probability of compound risk chain occurrence. Event tree and grey clustering method were used to evaluate the consequences of the compound risk chain. Finally, taking the actual Chengdu-Chongqing passenger dedicated line as an example, the risk analysis and evaluation of the compound fault were carried out.
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基于特征变量的高速列车牵引系统复合故障动态风险分析方法
高速列车牵引系统故障较多,其中复合故障占一定比例。与单一断层相比,复合断层将导致更严重的后果。本文以“CRH380D高速列车牵引逆变器IGBT开路电机速度传感器增益系数过小”复合故障的故障链为例,基于故障机理建立故障链的数学模型,利用相关实验数据和国家标准,得到故障特征变量与牵引电机故障率的关系,从而得出复合风险链发生的概率。采用事件树法和灰色聚类法对复合风险链的后果进行评价。最后,以实际成渝客运专线为例,对复合故障进行了风险分析和评价。
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