轨道交通车辆车轮显著多边形提取方法

Method for Extracting Significant Polygons of Railway Wheels

设计一种切比雪夫带通滤波器模型,可以便捷地将轨道车辆车轮周向不平顺数据分解为若干阶次的车轮多边形,同时完整地保留其幅值与相位信息。在对模型校核验证后,将其应用于某地铁车轮显著多边形的识别与提取,得到理想的结果。

A Chebyshev band- pass filter model is established. According to the model, the data of wheel circumferential profile irregularity can be quickly separated into a few polygons in different orders with completed information of amplitude and phase of the irregularity reserved. After checked and verified, the model is applied to the identification and extraction of significant polygons of a subway wheel and ideal results are achieved.