摘要
钢轨轨廓的精准匹配是研究其几何形态变化的重要前提。由于轨检小车行进时产生随机振动,引起传感器振动,导致采集数据失真。在测量过程中,因无法保证传感器绝对对称,故每个传感器的振动存在一些差异性。传统的特征点算法只能对振动引起的噪声进行刚性补偿,且有时特征点提取不到。基于此,提出动态时间规整算法,从初步匹配的数据中,选取标准轨廓和测量轨廓轨腰处数据作为两个时间序列,建立距离矩阵,通过对时间轴的扭曲变形,利用递归思想,计算累积代价矩阵,得到最优规整路径,从而找到两个时间序列各点的对应关系,实现轨廓的精准匹配。实验结果表明,相比特征点算法,动态时间规整算法的匹配精度提高了近7倍,匹配效果较好,稳定性很高。
Precise matching of rail profiles is an important prerequisite for studying changes in their geometric shapes.Due to random vibration is generated when the track inspection trolley travels,the vibration of the sensor is caused,the acquired data are distorted.In the measurement process,there is some difference in the vibration of each sensor because the absolute symmetry of the sensor cannot be guaranteed.The traditional feature point algorithm can only rigidly compensate for vibration-induced noise,and sometimes feature points cannot be extracted.Based on this,a dynamic time warping algorithm was proposed.From the preliminary matching data,the data of the standard rail profile and the lumbar profile of the measurement rail were selected as two time series,and the distance matrix was established.The recursive idea was used to calculate the cumulative cost matrix with twisting the time axis.The optimal regulatory path was obtained.The correspondence was found between each point in the two time series so as to achieve the exact match of the track profile.Experimental results show that compared with the feature point algorithm,the matching accuracy of the dynamic time warping algorithm is improved by nearly 7 times,the matching effect is good,and the stability is high.
作者
陆英杰
朱洪涛
LU Yingjie;ZHU Hongtao(Nanchang University,School of Mechanical Engineering,Nanchang 330031,China)
出处
《振动与冲击》
EI
CSCD
北大核心
2019年第20期210-215,251,共7页
Journal of Vibration and Shock
基金
国家自然科学基金地区科学基金(51468042)
江西省重点研发计划(工业领域)项目(20161BBE50079)
关键词
轨廓匹配
坐标转换
HOUGH变换
动态时间规整算法
rail profile matching
coordinate transformation
Hough Transform
dynamic time warping algorithm
