小波能量谱在铁路轨道检测中的应用  

Application of wavelet energy spectrum in railway track detection

作　　者：徐磊[1,2] 陈宪麦[1,2] 徐伟昌[3] 李晓建[4] 孟宪洪[4] 唐永康[4] 

机构地区：[1]中南大学道路与铁道工程系,湖南长沙410075 [2]高速铁路建造技术国家工程实验室,湖南长沙410075 [3]上海铁路局工务处,上海200070 [4]朔黄铁路发展有限责任公司,河北肃宁062350

出　　处：《振动工程学报》2014年第4期605-612,共8页Journal of Vibration Engineering

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)

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。The abrupt change of train vibration energy is an important basis for judging track defects or deteriorations. Based on the continue wavelet transform＇s detailed performance in time-scale mesh generation, and combined with the probability method, the time, scale and time-scale wavelet energy spectrum of train vibration response and track irregularity signal was estab- lished after the calculating and analyzing of track irregularity and train vibration energy, then the combined diagnosis and analysis was conducted. Through the track inspection data analysis for Shanghai-Nanjing Passenger Dedicated Railway and Shenchi- Huanghua Heavy Haul Railway, the results show that the method this paper proposed can effectively extract the type, damage degree and space position of small disease, and realize the evaluation of track irregularity;s overall state. This offered a new technical approach for railway track disease diagnosis and state evaluation.

关 键 词：轨道不平顺 连续小波变换 能量谱 轴箱加速度 轨道病害 

分 类 号：U213.2[交通运输工程—道路与铁道工程] TN911.7[电子电信—通信与信息系统]