ISO 16610-31:2016
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.
| Get this standard | Prices exclude GST | |
|---|---|---|
| PDF ( Single user document) |
$118.26 NZD
|
|
| HardCopy |
$152.17 NZD
|
|
| Networkable PDF |
Price varies
|
Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Robust Gaussian regression filter
4.1 Weighting function
4.2 Filter equation
4.2.1 General
4.2.2 Filter equation for the robust Gaussian regression filter for open profiles
4.2.3 Filter equation for robust Gaussian regression filter for closed profiles
4.2.4 Transmission characteristics
5 Recommendations for nesting index (cutoff values λc)
6 Filter designation
Annex A (informative) Examples
Annex B (informative) Relationship to the filtration matrix model
Annex C (informative) Relationship to the GPS matrix model
Bibliography
Keep me up-to-date
Register to receive notifications when updates are made to this standard.
Related Information
Similar Standards
-
BS 1134:2010
Assessment of surface texture. Guidance and general information
-
BS 2634-1:2010
Roughness comparison specimens, Specification for turned, ground, bored, milled, shaped and planed specimens
-
BS 2634-2:2010
Roughness comparison specimens, Specification for spark-eroded, shot-blasted, grit-blasted and polished specimens
-
BS 4359-2:1982
Determination of the specific surface area of powders, Recommended air permeability methods
Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Robust Gaussian regression filter
4.1 Weighting function
4.2 Filter equation
4.2.1 General
4.2.2 Filter equation for the robust Gaussian regression filter for open profiles
4.2.3 Filter equation for robust Gaussian regression filter for closed profiles
4.2.4 Transmission characteristics
5 Recommendations for nesting index (cutoff values λc)
6 Filter designation
Annex A (informative) Examples
Annex B (informative) Relationship to the filtration matrix model
Annex C (informative) Relationship to the GPS matrix model
Bibliography