EN ISO 16610-71:2014 PDF

Overview - EN ISO 16610-71:2014 (ISO 16610-71)

EN ISO 16610-71:2014 specifies the metrological characteristics of the robust areal Gaussian regression filter used in geometrical product specification (GPS) filtration. It defines how to robustly separate large-scale lateral components from short-scale lateral components on measured surfaces that may contain spike discontinuities, deep valleys, or high peaks. The document covers both nominal planar and cylindrical areal surfaces and is part of the ISO 16610 series on filtration.

Key topics and requirements

• Filter type: Robust areal Gaussian regression filter (areal, non-linear, M‑estimator based).
• Weighting and influence functions: Uses the areal Gaussian weighting function together with a biweight influence function to reduce sensitivity to outliers (spikes, pits, peaks).
• Local modelling: Based on a local complete polynomial modelling of the surface (default polynomial degree p = 2).
• Filter equations and transmission characteristics: Normative definitions for the weighting function, filter equation and the filter’s transmission behaviour are provided for both planar and cylindrical cases.
• Nesting and designation: Rules for the Nesting Index and the formal filter designation are given to ensure consistent use across measurements and software.
• Normative context: References ISO 16610-1 (overview), ISO 16610-30 (robust profile filters concepts), and relevant ISO/IEC vocabulary and uncertainty guides.

Applications and who uses it

This standard is applied where reliable surface texture evaluation is required despite measurement anomalies:

• Metrology laboratories and quality control teams evaluating manufactured surfaces with defects or extreme features.
• Design and manufacturing engineers specifying surface requirements on components with non-ideal topography.
• CMM and profilometer manufacturers and measurement software developers implementing robust areal filtration algorithms.
• Research groups and standards bodies working on surface texture analysis and GPS conformance.

Practical use cases include robust surface parameter extraction, comparator testing of parts with scratches or peaks, and pre-processing measured areal datasets before texture parameter calculation.

Related standards

• ISO 16610-1 - Filtration: overview and basic concepts
• ISO 16610-30 - Robust profile filters: basic concepts
• ISO 16610-61 - Linear areal Gaussian filters (related weighting function)
• ISO/IEC Guide 99 and ISO/IEC Guide 98-3 - metrology vocabulary and uncertainty guidance

EN ISO 16610-71:2014 helps ensure consistent, repeatable areal filtration in GPS workflows where measurement data contain discontinuities or extreme surface features, supporting robust surface texture assessment and reliable manufacturing quality decisions.