论文主要研究基于图像处理与机器视觉的轮对踏面磨耗和相关参数的自动检测技术。
The technology based on image treatment and machine vision for wear detection and correlation parameters measurement of the wheelset tread is presented in this paper.
机车轮对的检修是十分重要的，轮缘磨耗、踏面磨耗等是重要的测量参数。
To examine locomotive wheels is very important, brim abrasion and fade abrasion of the wheels are the important parameters.
该方法能自动判断被测轮对轮缘踏面是否因磨耗过限而需要旋修。
This method can automatically judge whether the wheel profile needs to repair because of wears and tears.
采用数值仿真方法研究了不同车轮踏面外形、轮对内侧距、轨底坡和车速对踏面磨耗深度和磨耗分布的影响。
Numerical simulation was used to study the influence of profile shape, vehicle speed, wheel back distance and rail cant on the wear depth and wear distribution of wheel profile.
采用数值仿真方法研究了不同车轮踏面外形、轮对内侧距、轨底坡和车速对踏面磨耗深度和磨耗分布的影响。
Numerical simulation was used to study the influence of profile shape, vehicle speed, wheel back distance and rail cant on the wear depth and wear distribution of wheel profile.
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