ISO TR 11462-4:2022 Guidelines for implementation of statistical process control - Part 4: Reference data sets for measurement process analysis software validation
ISO TR 11462-4:2022 Guidelines for implementation of statistical process control - Part 4: Reference data sets for measurement process analysis software validation
Digital Document,
32 pages, Published 2022
Item Number: T1618E
Member Price: $194.00
List Price: $194.00Keywords
- statistics
- ISO 22514-7
- software
Description
This document describes examples for software validation for software implementing the standards of ISO 22514‑7 on the capability of measurement processes. In detail, the following standards are covered:
— ISO 22514‑7.
It provides data sets and test results for testing the implementation of the evaluation methods described in these standards. This includes:
a) the calculation of standard uncertainties from other sources (other than experiments – type B – ISO/IECGuide 98‑3);
b) the estimation of uncertainty components using repeated measurements on reference parts;
c) the estimation of uncertainty components using repeated measurements on multiple parts with different operators and their evaluation using the ANOVA method;
d) the combination of uncertainty components using the Gaussian law of uncertainty propagation;
e) the calculation of measurement process capability indices;
f) the influence of operators on attributive measurements;
g) the uncertainty range and capability indices for attributive measurements.
The test examples are intended to cover the calculation of the measuring system capability and measurement process capability according to ISO 22514‑7.
— ISO 22514‑7.
It provides data sets and test results for testing the implementation of the evaluation methods described in these standards. This includes:
a) the calculation of standard uncertainties from other sources (other than experiments – type B – ISO/IECGuide 98‑3);
b) the estimation of uncertainty components using repeated measurements on reference parts;
c) the estimation of uncertainty components using repeated measurements on multiple parts with different operators and their evaluation using the ANOVA method;
d) the combination of uncertainty components using the Gaussian law of uncertainty propagation;
e) the calculation of measurement process capability indices;
f) the influence of operators on attributive measurements;
g) the uncertainty range and capability indices for attributive measurements.
The test examples are intended to cover the calculation of the measuring system capability and measurement process capability according to ISO 22514‑7.