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.
出处
《振动工程学报》
EI
CSCD
北大核心
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)
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
track irregularity
continuous wavelet transform
energy spectrum
axle-box acceleration
track disease
