Uncertainty Evaluation of Measurement Data Processing Algorithm Based on Its Matrix Form

• Authors: K. Konopka , T. Topór-Kamiński
• Languages of publication: EN

Abstracts

EN

Data processing algorithms are important parts of modern measurement systems. These algorithms are often delivered to the user as complex program and their numerical structure is not known. Therefore also influence of algorithm on processed data accuracy is not known. One of the methods to evaluate uncertainty propagation through algorithm is based on matrix form of algorithm. Coefficient matrix of algorithm represents its numerical operations and it is a basis to algorithm accuracy evaluation. The paper presents a method how to identify this coefficient matrix when algebraic form of the algorithm is known or is difficult to use. Identified matrix form of algorithm is then used to estimate uncertainty propagation through exemplary algorithms. Results are compared with experiments.

Keywords

EN

52.80.-s; 77.22.Jp; 84.70.+p

Discipline

• 84.70.+p: High-current and high-voltage technology: power systems; power transmission lines and cables(for superconducting cables, see 84.71.Fk)
• 77.22.Jp: Dielectric breakdown and space-charge effects(for dielectric breakdown in gases, see 51.50.+v)
• 52.80.-s: Electric discharges(see also 51.50.+v Electrical properties of gases; for plasma reactions including flowing afterglow and electric discharges, see 82.33.Xj in physical chemistry and chemical physics)

• Publisher: Institute of Physics, Polish Academy of Sciences
• Journal: Acta Physica Polonica A
• Year: 2011
• Volume: 120
• Issue: 4
• Pages: 666-670

Dates

published

2011-10

Contributors

author

K. Konopka

• Institute of Measurement Science, Electronics and Control, Silesian University of Technology, Akademicka 2, 44-100 Gliwice, Poland

author

T. Topór-Kamiński

• Institute of Measurement Science, Electronics and Control, Silesian University of Technology, Akademicka 2, 44-100 Gliwice, Poland

References

• 1. J. Jakubiec, Application of Reductive Interval Arithmetic to Uncertainty Evaluation of Measurement Data Processing Algorithms, Monograph, SUT, Gliwice 2002
• 2. J. Jakubiec, Elektryka 169, 7 (2000) (in Polish)
• 3. J. Jakubiec, K. Konopka, in: IEEE IMTC 2003 - Instrumentation and Measurement Technology Conf. Vail, IEEE, Piscataway 2003, p. 115
• 4. J. Jakubiec, K. Konopka, in: IMEKO TC7 Symp. 'Measurement Science of the Information Era', Cracow University of Technology, Kraków 2002, p. 76
• 5. J. Jakubiec, Pomiary Automatyka Kontrola PAK 6, 08 (2006) (in Polish)
• 6. J. Jakubiec, Pomiary Automatyka Kontrola PAK 2, 04 (2007) (in Polish)
• 7. J. Jakubiec, Pomiary Automatyka Kontrola PAK 01, 08 (2008)
• 8. Guide to the Expression of Uncertainty in Measurement, ISO/IEC/OIML/BIPM, 1992 (1995)
• 9. K. Konopka, in: Instrumentation and Measurement Technology Conf. - IMTC 2007, Warsaw, IEEE Piscataway 2007, p. 100

Identifiers

DOI

10.12693/APhysPolA.120.666