BSI PD IEC/TR 61000-1-6:2012:2014 Edition
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Electromagnetic compatibility (EMC) – General. Guide to the assessment of measurement uncertainty
| Published By | Publication Date | Number of Pages |
| BSI | 2014 | 74 |
This part of
The objectives of this Technical Report are to give advice to technical committees, product committees and conformity assessment bodies on the development of measurement uncertainty budgets; to allow the comparison of these budgets between laboratories that have similar influence quantities; and to align the treatment of measurement uncertainty across the EMC committees of the IEC.
Any contributing factor to measurement uncertainty that is mentioned within this Technical Report shall be treated as an example: the technical committee responsible for the preparation of a basic immunity standard is responsible for identifying the factors that contribute to the measurement uncertainty of their basic test method.
It gives a description for
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a method for the assessment of measurement uncertainty (MU),
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mathematical formulas for probability density functions,
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analytical assessment of statistical evaluations,
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correction of measured data,
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documentation.
This Technical Report is not intended to summarize all measurement uncertainty influence quantities nor is it intended to define how measurement uncertainty is to be taken into account in determining compliance with an EMC requirement.
Some of the examples given in this report are taken from IEC publications other than the IEC 61000 series that have already implemented the evaluation procedure presented here. These examples are used to illustrate the principles.
PDF Catalog
| PDF Pages | PDF Title |
|---|---|
| 4 | CONTENTS |
| 6 | FOREWORD |
| 8 | INTRODUCTION |
| 9 | 1 Scope 2 Normative references |
| 10 | 3 Terms, definitions, symbols and abbreviations 3.1 Terms and definitions |
| 16 | 3.2 Symbols |
| 17 | 3.3 Abbreviations |
| 18 | 4 General 4.1 Overview 4.2 Classification of uncertainty contributions Figures Figure 1 – Classification of uncertainty components associated with the experimental evaluation of uncertainty in EMC testing and measurement |
| 20 | 4.4 Principles |
| 21 | Figure 3 – Example of g(x’) Figure 4 – Impact of g(x) on interpretation of x’ |
| 22 | 5 Measurement uncertainty budget development 5.1 Basic steps Figure 5 – Estimate returned by the measurement system Tables Table 1 – Basic steps for calculating MU |
| 25 | Table 2 – Expressions used to obtain standard uncertainty |
| 26 | 5.2 Probability density functions 5.2.1 Rectangular |
| 27 | Figure 6 – Rectangular PDF |
| 28 | 5.2.2 Triangular |
| 29 | Figure 7 – Triangular PDF |
| 30 | 5.2.3 Gaussian |
| 31 | Figure 8 – Normal PDF for standardized X |
| 34 | 5.2.4 U-Shape |
| 35 | Figure 9 – U-shaped PDF Figure 10 – Example of a circuit |
| 37 | 5.3 Concept of Type A and Type B evaluation of uncertainty 5.3.1 General considerations Table 3 – Examples of circuit parameters |
| 38 | 5.3.2 Type A evaluation of standard uncertainty |
| 41 | Table 4 – Values of the expansion coefficient η(ν) which transforms the standard deviation to the Type A standard uncertainty |
| 42 | 5.3.3 Type B evaluation of standard uncertainty |
| 44 | 5.4 Sampling statistics 5.4.1 General considerations 5.4.2 Sample mean and sample standard deviation |
| 45 | 5.4.3 Sample coefficient of variation 5.4.4 Limits of sample-statistical confidence intervals |
| 46 | 5.4.5 Sampling distribution and sampling statistics of mean value |
| 48 | Figure 11 – Limits of 95 %, 99 % and 99,5 % confidence intervals for W as a function of N for measurements using a rectilinear antenna or single-axis probe |
| 49 | 5.4.6 Sampling distribution and sampling statistics of standard deviation Figure 12 – Limits of 95 %, 99 % and 99,5 % confidence intervals for A as afunction of N for measurements using a rectilinear antenna or single-axis probe |
| 50 | Figure 13 – 95 % confidence intervals for SX as a function of N for measurements using a single-axis detector |
| 51 | 5.5 Conversion from linear quantities to decibel and vice versa 5.5.1 General considerations 5.5.2 Normally distributed fluctuations |
| 53 | Figure 14 – PDF of B for a Rayleigh distributed A at selected σ |
| 54 | 5.5.3 Uniformly distributed fluctuations 6 Applicability of measurement uncertainty |
| 55 | Figure 15 – Measurement uncertainty budget for a quantityto be realized in the test laboratory |
| 56 | Figure 16 – Relationship between measurement uncertainty budgets for a quantity to be realized in the test laboratory and tolerances given for this quantity in the applicable basic standard |
| 57 | Figure 17 – Situations, where and how an instrument is suitable for tests and/or measurements as specified in the applicable basic standard with tolerances |
| 58 | 7 Documentation of measurement uncertainty calculation |
| 59 | Annex A (informative) Example of MU assessment for emission measurements |
| 60 | Table A.1 – Radiated disturbance measurements from 1 GHz to 18 GHzin a FAR at a distance of 3 m |
| 62 | Figure A.1 – Deviation of the peak detector level indication from the signal level at receiver input for two cases, a sine-wave signal and an impulsive signal (PRF 100 Hz) |
| 66 | Annex B (informative) Example of MU assessment for an immunity test level setting |
| 67 | Table B.1 – Uncertainty budget of the radiated immunity test level (80 MHz – 1 000 MHz) |
| 69 | Bibliography |
