NF EN ISO 16610-31

NF EN ISO 16610-31

February 2025
Standard Current

Geometrical product specifications (GPS) - Filtration - Part 31: Robust profile filters: Gaussian regression filters

This document specifies robust Gaussian regression filters for the filtration of surface profiles. It defines, in particular, how to separate large- and small-scale lateral components of surface profiles with protruding dales and hills.The concept presented for closed profiles are applicable to the case of roundness filtering. Where appropriate, these concept can be extended to generalized closed profiles, especially for surface profiles with re-entrant features.

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Main informations

Collections

National standards and national normative documents

Publication date

February 2025

Number of pages

36 p.

Reference

NF EN ISO 16610-31

ICS Codes

17.040.20   Properties of surfaces
17.040.40   Geometrical Product Specification (GPS)

Classification index

E05-040-31

Print number

1

International kinship

ISO 16610-31:2025

European kinship

EN ISO 16610-31:2025
Sumary
Geometrical product specifications (GPS) - Filtration - Part 31: Robust profile filters: Gaussian regression filters

This document specifies robust Gaussian regression filters for the filtration of surface profiles. It defines, in particular, how to separate large- and small-scale lateral components of surface profiles with protruding dales and hills.

The concept presented for closed profiles are applicable to the case of roundness filtering. Where appropriate, these concept can be extended to generalized closed profiles, especially for surface profiles with re-entrant features.

Replaced standards (1)
NF EN ISO 16610-31
December 2016
Standard Cancelled
Geometrical product specifications (GPS) - Filtration - Part 31 : robust profile filters : gaussian regression filters

ISO 16610-31:2016 specifies the characteristics of the discrete robust Gaussian regression filter for the evaluation of surface profiles with spike discontinuities such as deep valleys and high peaks.

Table of contents
  • 1 Domaine d'application
  • 2 Références normatives
  • 3 Termes et définitions
  • 4 Caractéristiques du filtre de régression gaussien robuste pour des profils ouverts
  • 5 Caractéristiques du filtre de régression gaussien robuste pour les profils fermés
  • 6 Séries de valeurs d'indice d'imbrication
  • 7 Degré de régression,p
  • 8 Solution itérative
  • 9 Désignation des filtres
  • A Filtre de régression gaussien linéaire pour les profils ouverts illimités
  • B Exemples d'application du filtre de régression gaussien robuste
  • C Relation avec le modèle de matrice de filtrage
  • D Relation avec le modèle de matrice GPS
  • Bibliographie
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