BSI PD IEC TR 62967:2018
$198.66
Methods for calculating the main static performance indicators of transducers and transmitters
Published By | Publication Date | Number of Pages |
BSI | 2018 | 68 |
This Technical Report provides guidance on the assurance of reliability data of automation devices. If the source of this data is calculation, guidance is given on how to specify the methods used for this calculation. If the source is through observations, guidance is given on how to describe these observations and their evaluations. If the source is the outcome of laboratory tests, guidance is given on how to specify these tests and the conditions under which they have been carried out.
This document defines the form to present the data.
PDF Catalog
PDF Pages | PDF Title |
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2 | undefined |
4 | CONTENTS |
8 | FOREWORD |
10 | INTRODUCTION |
11 | 1 Scope 2 Normative references 3 Terms and definitions |
12 | 3.1 Basic terms 3.1.3 Input terms 3.1.4 Output terms |
13 | 3.2 Static calibration characteristics 3.3 Definitions of static performance indicators |
17 | 4 Methods for calculating individual static performance indicators 4.1 Establishment of static calibration characteristics 4.1.1 General requirements for static calibration 4.1.2 The calculation of static calibration characteristics |
18 | 4.2 Span (xFS) 4.3 Full-span output (YFS) 4.4 Resolution (Rx) |
19 | 4.5 Sensitivity (Si) 4.6 Hysteresis (ξH) 4.7 Repeatability (ξR) 4.7.1 Calculating methods |
20 | 4.7.2 Determination of coverage factor 4.7.3 Calculation of sample standard deviations 4.8 Linearity (ξL) 4.8.1 The general formula for calculating linearity Tables Table 1 – Form to present reliability data with its data types |
21 | 4.8.2 Absolute linearity (ξL,ab) 4.8.3 Terminal-based Linearity (ξL,te) |
22 | 4.8.4 Shifted-terminal-based Linearity (ξL,s,te) 4.8.5 Zero-based linearity (ξL,ze) |
23 | 4.8.6 Front-terminal-based Linearity (ξL,f,te) 4.8.7 Independent Linearity (ξL,in) Figures Figure 1 – Terminal-based Linearity Figure 2 – Zero-based Linearity |
24 | 4.8.8 Least-squares Linearity (ξL,ls) Figure 3 – Front-terminal-based Linearity Figure 4 – Independent Linearity |
25 | 4.9 Conformity (ξC) 4.9.1 The general formula for calculating conformity 4.9.2 Absolute conformity (ξC,ab) |
26 | 4.9.3 Terminal-based conformity (ξC,te) 4.9.4 Zero-based conformity (ξC,ze) 4.9.5 Front-terminal-based conformity (ξC,f,te) 4.9.6 Independent conformity (ξC,in) Figure 5 – Terminal-based conformity Figure 6 – Zero-based conformity |
27 | 4.9.7 Least-squares conformity (ξC,ls) 4.10 Drift and shift 4.10.1 Zero drift (D0) Figure 7 – Front-terminal-based conformity Figure 8 – Independent conformity |
28 | 4.10.2 Drift of upper-range-value output (Du) 4.10.3 Thermal zero shift (γ) 4.10.4 Thermal shift of upper-range-value output (β) |
29 | 5 Methods for calculating combined static performance indicators 5.1 Combined linearity and hysteresis (Linearity plus hysteresis) ξLH 5.1.1 The general form of calculating formula 5.1.2 The calculation of reference line 5.2 Combined linearity, hysteresis and repeatability (ξLHR) |
30 | 5.2.1 The general form of calculating formula 5.2.2 The alternative forms of the calculating formulas |
31 | 5.2.3 The method for calculating the working characteristics Figure 9 – The method of L(C)HR extreme-point envelope |
33 | Annex A (informative)Methods and examples for calculating linearities A.1 Numerical examples for calculating zero-based linearity A.1.1 The general principle of calculation A.1.2 Solving for the first approximating straight line A.1.3 Solving for the second approximating straight line Table A.1 Table A.2 |
34 | A.2 Numerical examples for calculating independent linearity A.2.1 The principle of a precise method Table A.3 Table A.4 |
35 | Figure A.1 – The transformed convex polygon |
36 | Table A.5 |
37 | A.2.2 The principle of the makeshift methods A.3 A comparison of the results of all kinds of linearities |
38 | Annex B (informative)Methods and Examples for Calculating Conformities B.1 The general principle for calculating conformities B.1.1 Determining the degree of the fitting curves B.1.2 Choosing the number of the alternating points B.1.3 Determining the locations of the alternating points B.1.4 Finding the finally-successful alternating points |
39 | B.2 Numerical examples for calculating conformities B.2.1 Solving for the terminal-based curve of the second degree and the terminal-based conformity of the second degree Figure B.1 – The curve roughly drawn from the given data Table B.1 |
40 | Table B.2 |
41 | B.2.2 Solving for the zero-based curve of the second degree and the zero-based conformity of the second degree Table B.3 |
42 | B.2.3 Solving for the front-terminal-based curve of the second degree and the front-terminal-based conformity of the second degree Table B.4 Table B.5 |
43 | B.2.4 Solving for the best curve of the second degree and the independent conformity of the second degree |
44 | B.2.5 Solving for the least-squares curve of the second degree and the least-squares conformity of the second degree Table B.6 |
45 | B.2.6 A rough principle guiding the choice of the theoretical curve Table B.7 |
46 | Annex C (informative)Examples for calculating transducer individual and combined performance indicators C.1 General principles of calculation C.2 Numerical examples C.2.1 Numerical example 1 Table C.1 – The original data obtained in the calibration |
47 | Table C.2 – The intermediate results of calculation |
48 | Table C.3 – Finding the extreme points n = 5 c = t 0.95 = 2.776 Table C.4 – The deviations from the best working line |
50 | C.2.1.4.7 Total uncertainty (linearity plus hysteresis plus repeatability) |
51 | Figure C.1 – Deviation curves which are calculated relative to relevant best reference lines of the first degree Figure C.2 – Deviation curves which are calculated relative to the working line of the first degree |
52 | C.2.2 Numerical example 2 |
53 | C.2.3 Numerical example 3 Figure C.3 – Deviation curves which are calculated relative to relevant best reference lines of the second degree Figure C.4 – Deviation curves which are calculated relative to the working line of the second degree |
55 | Annex D (informative)Examples for calculating transmitter individual and combined performance indicators D.1 General principles of calculation D.2 Numerical example D.3 Calculation results Table D.1 – The original data obtained in the calibration |
56 | Figure D.1 – Deviation curves which are calculated relative to the given working straight line |
57 | Figure D.2 – Deviation curves which are calculated relative to the best reference straight line |
58 | Annex E (informative)The Pre-treatment of the Original Data E.1 The discovery of suspect and unreasonable data points E.2 The detection of suspect data points E.2.1 The general principle of statistical detection |
59 | Table E.1 Table E.2 |
60 | Table E.3 – The original data obtained in the calibration |
61 | E.3 The Inspection of Unreasonable Data Points E.3.1 The Unreasonable Data Points Figure E.1 – Deviation curves which are calculated relative to the best working straight line |
62 | E.3.2 Example 1 for Inspecting the Unreasonable Data Points E.3.3 Example 2 for Inspecting the Unreasonable Data Points Table E.4 – A list of the computer-conducted inspection results for the unreasonable data points |
63 | Figure E.2 – Deviation curves which are calculated relative to the best working straight line |
64 | Annex F (informative)The fundamentals for calculating transducer uncertainty F.1 Components of measurement uncertainty F.2 Combined uncertainty F.3 The combined uncertainty of a transducer F.4 The total uncertainty of a transducer at the ith calibration point |
65 | F.5 The total uncertainty of a transducer |
66 | Bibliography |