基于加速度信号的吊弦断裂检测方法

Detection Methods of Hanging String Fracture Based on the Acceleration Signals

吊弦是高铁接触网的关键部件,长期裸露于外部环境,且日复一日地承受列车受电弓的冲击作用,容易发生吊弦断裂故障.本文基于弓网动态仿真模型,对兰新高铁试验段进行仿真,产生在脉动风和受电弓同时作用下的接触网正常和吊弦断裂时接触线和承力索的加速度数据,然后运用EEMD (Ensemble Empirical Mode Decomposition)计算加速度信号的能量熵、奇异熵、平均熵,建立吊弦断裂故障检测的L1/2-LR正则化模型.实验结果表明,在脉动风和受电弓共同作用工况下,所得到的检测方法对吊弦断裂检测的准确率可达97.25%.本文提出的基于EEMD的L1/2-LR模型,具有变量选择作用,发现只需采集承力索跨中位置处的垂直加速度和水平加速度,分别计算其能量熵、平均熵,便可以很高的精度和计算效率检测跨中吊弦是否断裂.

In high speed railway catenary system,hanging strings are impacted by vehicle pantograph and external environment day after day,they are prone to fracture faults.In this paper,we propose an L1/2-LR model of hanging string fault detection based on the dynamic simulation model of pantograph catenary system.Firstly,we generated the acceleration data of contact wire and messenger wire under the multaneous action of pulsating wind and pantograph.Secondly,EEMD(Ensemble Empirical Mode Decomposition)is used to calculate their features,such as energy entropy,singular entropy,average entropy.As a result,an L1/2-LR model is established by the features.The experimental results show that the accuracy of the detection model is 97.25% under the condition of fluctuating wind and pantograph.As L1/2-LR model has variable selection effect,it is found that detecting whether hanging string is broken with high accuracy and calculation efficiency only by collecting vertical acceleration and horizontal acceleration at the middle position of catenary carrier cables.