In this paper, the bisquare robust polynomial fitting (BSRPF) method for surface texture features assessment was proposed. Plateau‐honed cylinder liner bronze surfaces with additionally burnished microcavities (defined as dimple, holes, and/or cavities) were taken into consideration. Analyzed details were measured with stylus (Talyscan 150) or white light interferometer (Talysurf CCI Lite) methods. It was assumed that application of commonly used (in surface contact and noncontact measurement technology) polynomial fitting procedures did not allow to extract required features; distortion of microreservoir dimples for oil consumption assessment was falsely estimated when valleys were near edge or on the edge located. Application of bisquare robust polynomial fitting method caused a minimization of microflattens of dimples irrespective of valley distribution; the biggest degree of polynomial fitting method applied, the minimal distortions of oil reservoirs were noticed. The valley size (depth and width) and valley‐to‐valley distance were also taken into account.

中文翻译：

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表面质量分析中酒窝变形最小化的双平方稳健多项式拟合方法

本文提出了一种用于表面纹理特征评估的双平方稳健多项式拟合（BSRPF）方法。考虑了高原抛光的缸套青铜表面以及额外打磨过的微腔（定义为凹坑，孔和/或腔）。分析细节通过测针（Talyscan 150）或白光干涉仪（Talysurf CCI Lite）方法进行测量。假定应用（在表面接触和非接触测量技术中）常用的多项式拟合程序无法提取所需的特征；当山谷靠近边缘或位于边缘时，错误估计了用于油耗评估的微储层凹窝变形。双平方稳健多项式拟合方法的应用使酒窝的微平坦度最小化，而与谷值分布无关。应用多项式拟合方法的最大程度，发现油藏的变形最小。谷的大小（深度和宽度）和谷到谷的距离也被考虑在内。