小波能量谱在铁路轨道检测中的应用

发布时间：2018-03-28 03:15

本文选题：轨道不平顺　切入点：连续小波变换　出处：《振动工程学报》2014年04期

【摘要】：列车振动能量突变是判断轨道病害及状态恶化的重要依据之一。基于连续小波变换细致的时间-尺度网格划分性能,结合概率方法,通过对轨道不平顺和列车振动信号的能量计算与分析,建立列车振动响应和轨道不平顺信号的时间、尺度和时间-尺度小波能量谱,并进行联合诊断。通过沪宁客运专线和朔黄重载铁路的轨检数据分析,表明此方法能够有效提取轨道结构中微弱病害的类型、损伤程度和空间位置,并实现整体不平顺状态的评估。这为铁路轨道病害诊断和状态评价提供了新的技术途径。
[Abstract]:The sudden change of train vibration energy is one of the important bases for judging track disease and state deterioration. Based on the detailed time-scale mesh generation performance of continuous wavelet transform (CWT), the probability method is used. By calculating and analyzing the energy of track irregularity and train vibration signal, the time, scale and time-scale wavelet energy spectrum of train vibration response and track irregularity signal are established. Through the analysis of rail inspection data of Huning passenger dedicated Line and Shuohuang heavy haul Railway, it is shown that this method can effectively extract the types, damage degree and spatial location of weak diseases in track structure. It provides a new technical approach for railway track disease diagnosis and condition evaluation.
【作者单位】：中南大学道路与铁道工程系;高速铁路建造技术国家工程实验室;上海铁路局工务处;朔黄铁路发展有限责任公司;
【基金】：国家自然科学基金资助项目(51008315) 中南大学研究生自主探索创新项目(2013zzts33) 上海铁路局科研项目(2013072)
【分类号】：U216.3;TN911.7

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