Accessing roughness in three-dimensions using Gaussian regression filtering
Accessing roughness in three-dimensions using Gaussian regression filtering
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DOI：
10.1016/s0890-6955(01)00082-7
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发表时间：
2001-10
影响因子：
14
通讯作者：
S. Brinkmann;H. Bodschwinna;H. Lemke
中科院分区：
文献类型：
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作者：
S. Brinkmann;H. Bodschwinna;H. Lemke
强大的 3-D 高斯回归滤波器是一种有效的工具，可用于确定任何工程表面的 3-D 粗糙度分析的参考平面。由于形状近似，该过滤器甚至可以遵循扭曲的表面。其强大的算法专为分析机械工程中的高应变接触面而设计，例如高原珩磨的气缸套。鲁棒性允许过滤具有不同分数和峰值的表面，而无需
The robust 3-D Gaussian regression filter is an efficient tool to determine a reference plane for 3-D roughness analysis with any engineered surface. This filter can, due to the form approximation, follow even warped surfaces. Its robust algorithm was specially designed for the analysis of heavily strained contact surfaces in mechanical engineering, such as, for example, plateau honed cylinder liners. Robustifying allows the filtering of surfaces with distinct scores and peaks without