GB/T 27430-2022Role of measurement uncertainty in conformity assessment (English PDF)
测量不确定度在合格评定中的作用
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Issued by
State Administration for Market Regulation, China National Standardization Administration
Level / Type
National · Recommended
Issue date
December 30, 2022
Implementation date
December 30, 2022
Scope
GB/T 27430-2022 is the English-translated version of 测量不确定度在合格评定中的作用.
GB/T 27430-2022 is the Chinese standard "Role of measurement uncertainty in conformity assessment". Its scope clause reads: This document provides guidance and procedures for evaluating the conformity of an article (entity, object or system) with the requirements of the specification.
The item can be (Example) Gauge blocks, grocery scales, or blood samples. The following procedures can be used in the following situations. a) The item under test is distinguished by a single scalar quantity (measurable property, see 3.2.1) defined by a detailed procedure sufficient to A truth-value representation; Note.
GB/T 27418-2017 provides reasons for not using the term "true", but this document will still use this term, otherwise there may be ambiguity or confusing situation. b) the permissible value interval for the attribute is bounded by one or two tolerance limits; c) The attribute can be measured, and the measurement results (see 3.2.5) are expressed in the manner in GB/T 27418-2017, so that the attribute Knowledge of values can be achieved through.
1) Probability density function (PDF, see 3.1.3); 2) distribution function (see 3.1.2); 3) Numerical approximations of these functions; 4) Reasonably described with the inclusion interval and the best estimated value of the corresponding inclusion probability.
The procedures presented in this document are applied to yield intervals of allowable measured values for the attribute of interest, called acceptance intervals. may reasonably choose to accept Limits effectively balance the risk of accepting nonconforming items (consumer risk) or rejecting conforming items (producer risk).
This document addresses two conformity assessment issues. The first is to set the acceptance limit to ensure that the expected pass probability of a single tested item is achieved; the second The second is to set acceptance limits to ensure that multiple items (of the same nominal name) are measured with an acceptable average confidence level.
This document provides solutions to guide. This document contains examples to illustrate the above guidelines. The concepts presented in this paper can be extended to more measurands based on measuring a set of scalar Common conformity assessment questions.
Some documents, such as Refs. [13,19], cover industry-specific conformity assessment issues.
This document is applicable to quality managers, members of standards development organizations and accreditation bodies, as well as testing and calibration laboratories, inspection bodies, certification bodies It is used as a reference by personnel of institutions, regulatory authorities, colleges and research institutes.
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Document preview — GB/T 27430-2022
National Standard of the People's Republic of China
- ICS
- 17.020
- Classification
- A 50
Issued by: State Administration for Market Regulation, China National Standardization Administration
Contents
- Preface
- Introduction
- 1 Scope
- 2 Normative references
- 3 Terms and Definitions
- 4 Conventions and notation
- 5 Tolerance limits and tolerance intervals
- 5.1 Measurement activities in conformity assessment
- 5.2 Permissible and non-permissible values. tolerance interval
- 5.3 Examples of tolerance limits
- 6 Measured knowledge
- 6.1 Probability and information
- 6.2 Bayes' theorem
- 6.3 General information
- 6.3.1 Best estimate and standard uncertainty
- 6.3.2 Inclusion interval
- 7 Probability of passing the specified requirements
- 7.1 General principles for calculating pass probability
- 7.2 Eligibility probability for normal probability density functions
- 7.3 One-sided tolerance intervals for normal probability density functions
- 7.3.1 Single lower allowable limit
- 7.3.2 Single tolerable upper limit
- 7.3.3 General calculation method with single tolerance limit
- 7.4 Two-sided admissible intervals for the normal probability density function
- 7.5 Eligibility probabilities and inclusion intervals
- 7.6 Measuring capability index Cm
- 7.7 Measuring capability index and pass probability
- 8 Accept interval
- 8.1 Acceptance limits
- 8.2 Decision rules based on simple acceptance
- 8.3 Judgment rules based on guard bands
- 8.3.1 Basic considerations
- 8.3.2 Protected acceptance
- 8.3.3 Protected rejection
- 9 Consumer and producer risks
- 9.1 General
- 9.2 Probability density functions for production processes and measurement systems
- 9.3 Tests using binary decision rules measure possible outcomes
- 9.4 The joint probability density function of Y and Ym
- 9.5 Global risk calculation
- 9.5.1 Historical background
- 9.5.2 General formula
- 9.5.3 Special case. binary decision rule
- 9.5.4 Setting acceptance limits
- 9.5.5 General Graphical Method
- 9.5.6 Significance of reducing measurement uncertainty
- Appendix A (Informative) Basic Symbol Collection
- Appendix B (informative) Prior knowledge of the measurand
- Appendix C (informative) Normal distribution
1 Scope
This document provides guidance and procedures for evaluating the conformity of an article (entity, object or system) with the requirements of the specification. The item can be (Example) Gauge blocks, grocery scales, or blood samples. The following procedures can be used in the following situations.
a) The item under test is distinguished by a single scalar quantity (measurable property, see 3.2.1) defined by a detailed procedure sufficient to
A truth-value representation;
Note. GB/T 27418-2017 provides reasons for not using the term "true", but this document will still use this term, otherwise there may be ambiguity or confusing situation.
b) the permissible value interval for the attribute is bounded by one or two tolerance limits;
c) The attribute can be measured, and the measurement results (see 3.2.5) are expressed in the manner in GB/T 27418-2017, so that the attribute
Knowledge of values can be achieved through.
1) Probability density function (PDF, see 3.1.3);
2) distribution function (see 3.1.2);
3) Numerical approximations of these functions;
4) Reasonably described with the inclusion interval and the best estimated value of the corresponding inclusion probability.
The procedures presented in this document are applied to yield intervals of allowable measured values for the attribute of interest, called acceptance intervals. may reasonably choose to accept
Limits effectively balance the risk of accepting nonconforming items (consumer risk) or rejecting conforming items (producer risk).
This document addresses two conformity assessment issues. The first is to set the acceptance limit to ensure that the expected pass probability of a single tested item is achieved; the second
The second is to set acceptance limits to ensure that multiple items (of the same nominal name) are measured with an acceptable average confidence level. This document provides solutions to guide.
This document contains examples to illustrate the above guidelines. The concepts presented in this paper can be extended to more measurands based on measuring a set of scalar
Common conformity assessment questions. Some documents, such as Refs. [13,19], cover industry-specific conformity assessment issues.
This document is applicable to quality managers, members of standards development organizations and accreditation bodies, as well as testing and calibration laboratories, inspection bodies, certification bodies
It is used as a reference by personnel of institutions, regulatory authorities, colleges and research institutes.
2 Normative references
The contents of the following documents constitute the essential provisions of this document through normative references in the text. Among them, dated references
For documents, only the version corresponding to the date is applicable to this document; for undated reference documents, the latest version (including all amendments) is applicable to this document.
GB/T 3358.1-2009 Statistical vocabulary and symbols - Part 1.General statistical terms and terms used in probability (ISO 3534-1.
2006, IDT)
GB/T 3358.2-2009 Statistics Vocabulary and Symbols Part 2.Applied Statistics (ISO 3534-2.2006, IDT)
GB/T 27000-2006 Conformity Assessment Vocabulary and General Principles (ISO /IEC 17000.2004, IDT)
GB/T 27418-2017 Evaluation and Expression of Measurement Uncertainty
GB/T 27419-2018 Measurement Uncertainty Assessment and Representation Supplementary Document 1.Distribution Propagation Based on Monte Carlo Method
ISO /IEC Guide99.2007 Basic and common concepts and related terms of international metrology vocabulary [International
JJF 1800 | JJF 1835 | JJF 1059.1 | GB/T 45434.1 | GB/T 43735 | […]
......
This preview omits tables, figures, formulas and parts of the technical clauses. The complete document — 84 pages — is available in the English PDF.
Referenced standards
Normative references
- GB/T 3358.1-2009Statistics -- Vocabulary and symbols -- Part 1: General statistical terms and terms used in probability
- GB/T 3358.2-2009Statistics -- Vocabulary and symbols -- Part 2: Applied statistics
- GB/T 27000-2006Conformity assessment - Vocabulary and general principles
- GB/T 27418-2017Guide to the evaluation and expression of uncertainty in measurement
- GB/T 27419-2018Guide to the evaluation and expression of uncertainty in measurement -- Supplement 1: Propagation of distributions using a Monte Carlo method
ISO 3534 · IEC 17000.2004
Cited by
- GB/T 24634-2026Geometrical product specifications (GPS) - General concepts and requirements for GPS measuring equipment
- GB/T 3241.2-2025Electroacoustics - Octave-band and fractional-octave-band filters - Part 2: Pattern evaluation tests
- GB/T 43917.3-2024Equipment for capture and separation of welding fume - Part 3: Determination of the capture efficiency of on-torch welding fume extraction devices
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Related Standards
GB/T 27418-2017 — Guide to the evaluation and expression of uncertainty in measurement
GB/T 27419-2018 — Guide to the evaluation and expression of uncertainty in measurement -- Supplement 1: Propagation of distributions using a Monte Carlo method
GB/T 3358.1-2009 — Statistics -- Vocabulary and symbols -- Part 1: General statistical terms and terms used in probability
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