Repeatability Variance Determination for Measurement Processes
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Solution Overview
Problem
Conventional methods for evaluating measurement process capability are not feasible when only a small number of test objects are available, particularly in early stages of development or for small series production.
Innovation Solution
A method for determining the repeatability variance of a measurement process by varying measurement parameters within a determined variation range, allowing for the evaluation of measurement process capability using a single test object or a small number of test objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional measurement process evaluation methods are used, then measurement process capability can be verified with sufficient statistical accuracy, but a large number of test objects are required
Solution Approach 1:
The patent changes the measurement parameters (such as measurement conditions, settings, or approaches) to generate multiple measured values from fewer test objects. Instead of relying on a large number of test objects with constant parameters, the method varies measurement parameters to create sufficient data for statistical analysis, thereby reducing the quantity of test objects needed while maintaining verification accuracy
Solution Approach 2:
The patent introduces a new dimension of variation by changing measurement parameters rather than only increasing the number of test objects. This dimensional shift allows the system to achieve statistical sufficiency through parameter space exploration instead of object quantity accumulation
2Reliability
If a large number of test objects are used for measurement process evaluation, then statistically accessible analysis is achieved, but resource requirements and costs increase
Solution Approach 1:
The method varies measurement parameters to generate multiple measured values from each test object, achieving statistical accessibility through parameter variation rather than object multiplication. This reduces the total number of test objects needed while maintaining reliable statistical analysis
3Stability of the object's composition
If measurement parameters are kept constant in conventional methods, then repeatability is maintained, but the ability to evaluate measurement process capability with few test objects is lost
Solution Approach 1:
The patent introduces dynamics by varying measurement parameters during the evaluation process. Instead of keeping all parameters static as in conventional methods, the system dynamically adjusts measurement parameters to generate sufficient data from fewer test objects, enabling adaptability to small series production and early development stages while maintaining measurement validity
Data Source
AI summary
A method (1000) for determining the repeatability variance of a given measurement process to be carried out on a test object (1), comprising the following steps:providing (100) at least one test object (1);determining (200) at least one measurement parameter (2) of the measurement process, on which measurement parameter the result of the measurement process also depends, in addition to the properties of the test object (1), which properties are to be measured and are provided in the form of a measurement variable (3) to be considered;determining a variation range (21) for the at least one measurement parameter (2);carrying out (300) a plurality of measurements on the test object (1) for various values (210, 211, 212) of the at least one measurement parameter (2) within the relevant variation range (21), so that at least one distribution (310, 311, 312) of the measured values of the measurement variable (3) is obtained with at least one measure of dispersion (310a, 311, 312a), in particular a dispersion range;analyzing the sought-after repeatability variance from the at least one measure of dispersion (310a, 311a, 312a) of the at least one distribution (310, 311, 312) of the measured values obtained.