The measure for assessing the acoustic quality of the rail surfaces, the acoustic roughness, is defined in the EN 15610 standard. It is shown that this standard contains gaps with regard to the applied procedures for processing the raw data to the quantity of acoustic roughness. Additions to the standard appear necessary to ensure better comparability of the results. A piece of rail tactilely measured by METAS (Swiss Federal Institute of Metrology) was used as a reference. Measurement data recorded by a laser triangulation sensor was used to quantify the adjustments to the standard. This paper provides an overview of the individual processing steps and systematically examines possible additions to the standard to improve the quality of the outcome. Special emphasis was given to a method for outlier removal, pre-filtering, spike removal, curvature correction and calculation of one-third octave bands. It becomes apparent that different implementations can have a significant impact on the final result. The filter used, the wavelength ranges, the methodology for removing outliers should be specified. The spike removal, curvature correction and the calculation of the one-third octave bands should be supplemented in detail to reduce ambiguities in the implementation.

EN 15610 标准中定义了用于评估钢轨表面声学质量的测量方法，即声学粗糙度。结果表明，该标准在处理原始数据到声学粗糙度数量的应用程序方面存在差距。为确保结果具有更好的可比性，对标准进行补充似乎是必要的。一块由 METAS（瑞士联邦计量研究所）通过触觉测量的钢轨被用作参考。激光三角测量传感器记录的测量数据用于量化对标准的调整。本文概述了各个处理步骤，并系统地检查了标准中可能增加的内容，以提高结果的质量。特别强调了一种去除异常值、预过滤、去除尖峰的方法，曲率校正和三分之一倍频程的计算。很明显，不同的实现会对最终结果产生重大影响。应指定使用的滤光片、波长范围、去除异常值的方法。应详细补充尖峰去除、曲率校正和三分之一倍频程的计算，以减少实现中的歧义。