https://oldena.lpnu.ua/handle/ntb/56830| Title: | Multipurpose measurement models for adjustment by the least-squares method |
| Authors: | Kuzmenko, Iuriy Samoilenko, Olexandr Tsiporenko, Serhiy |
| Affiliation: | State Enterprise “Ukrmetrteststandard” |
| Bibliographic description (Ukraine): | Kuzmenko I. Multipurpose measurement models for adjustment by the least-squares method / Iuriy Kuzmenko, Olexandr Samoilenko, Serhiy Tsiporenko // Measuring equipment and metrology. — Lviv : Lviv Politechnic Publishing House, 2021. — Vol 82. — No 2. — P. 29–37. |
| Bibliographic description (International): | Kuzmenko I. Multipurpose measurement models for adjustment by the least-squares method / Iuriy Kuzmenko, Olexandr Samoilenko, Serhiy Tsiporenko // Measuring equipment and metrology. — Lviv : Lviv Politechnic Publishing House, 2021. — Vol 82. — No 2. — P. 29–37. |
| Is part of: | Вимірювальна техніка та метрологія, 2 (82), 2021 Measuring equipment and metrology, 2 (82), 2021 |
| Journal/Collection: | Вимірювальна техніка та метрологія |
| Issue: | 2 |
| Volume: | 82 |
| Issue Date: | 23-Feb-2021 |
| Publisher: | Видавництво Львівської політехніки Lviv Politechnic Publishing House |
| Place of the edition/event: | Львів Lviv |
| DOI: | https://doi.org/10.23939/istcmtm2021.02.029 |
| Keywords: | Multipurpose measurement models Least-squares method Measurement subjects and objects Comprehensive measurement traceability network Uncertainty |
| Number of pages: | 9 |
| Page range: | 29-37 |
| Start page: | 29 |
| End page: | 37 |
| Abstract: | The development of multipurpose measurement models is the precondition for software development for simultaneous adjustment of the large scope and complicated combinations of the measurement results by the least-squares method. Multipurpose measurement models for software can be a helpful tool for processing the final measurement results provided by different measurement methods applying the mentioned software; processing the measurement results of measurement standards comparisons, interlaboratory comparison, and calibration procedures; estimating the additive and multiplicative systematic components of measurement errors and their uncertainty; processing complicated combinations by binding or linking up of the interlaboratory comparison and calibration results in the time; simultaneous processing of the measurement results obtained by various methods e.g. by the method of direct measurements and comparisons; fast-changing the multipurpose measurement models from linear to non-linear type. Processing of the results by software based on the multipurpose measurement model algorithm can help to established a comprehensive measurement traceability network by pooling the single traceability chains. |
| URI: | https://ena.lpnu.ua/handle/ntb/56830 |
| Copyright owner: | © Національний університет “Львівська політехніка”, 2021 |
| URL for reference material: | https://doi.org/10.1023/A:1025373701977 http://iopscience.iop.org/0026-1394/41/3/003 http://iopscience.iop.org/article/10.1088/0026-1394/49/3/340 http://iopscience.iop.org/0026-394/13/050549 https://www.iso.org/standard/29366.html |
| References (Ukraine): | [1] JCGM 200:2012. International vocabulary of metrology – Basic and general concepts and associated terms (VIM). [2] M. G. Cox, The evaluation of key comparison data. Metrologia. V. 39, p. 589–595, 2002. [3] Nielsen, L. Identification and handling of discrepant measurements in key comparisons. Measurement Techniques. 46(5), 513–522, 2003: https://doi.org/10.1023/A:1025373701977. [4] D. R. White On the analysis of measurement comparisons. Metrologia. V. 41, 2004, IOPscience (http://iopscience.iop.org/0026-1394/41/3/003). [5] A. Koo, J. F. Clare On the equivalence of generalized least-squares approaches to the evaluation of measurement comparisons. Metrologia. V. 49, 2012, IOPscience (http://iopscience.iop.org/article/10.1088/0026-1394/49/3/340). [6] C. Elster, B. Toman Analysis of key comparison data: a critical assessment of elements of current practice with suggested improvement. Metrologia. Vol. 50, 2013, IOPscience (http://iopscience.iop.org/0026-394/13/050549). [7] Iu. Kuzmenko, O. Samoilenko Processing by least squares method of the measurement results for key, regional and supplementary comparison of the measurement standards. Metrology and Instruments. No. 2, pp. 3–13, 2018. [8] JCGM 100:2008. Evaluation of measurement data – Guide to the expression of uncertainty in measurement. [9] ISO 17123-4:2012. Optics and optical instruments – Field procedures for testing geodetic and surveying instruments. Part 4: Electro-optical distance meter (EDM measurements to reflectors). [10] O. Samoilenko, O. Adamenko Length measurement results processing for adjustment or calibration of distance meters and tachometers on the infield comparator, Sc. & Techn. Anthology “Geodesy, cartography and aerophotography”, Pub. 90, pp. 15–28, 2019. [11] R. Schwartz, M. Borys, F. Scholz Guide to Mass Determination with High Accuracy PTB-MA-80, Physikalisch- Technische Bundesanstalt Braunschweig und Berlin Presse, 2007. [12] O. Samoilenko, O. Adamenko, V. Kalinichenko O. Methodic and results of the moving laser interferometers direct adjustments Renishaw XL-80. Metrology and Instruments, No. 4, 2018. [13] JCGM 102:2008. Evaluation of measurement data – Supplement 2 to the “Guide to the expression of uncertainty in measurement” Extension to any number of output quantities. [14] JCGM 103 CD 2018-10-04. Evaluation of measurement data – Supplement 2 to the “Guide to the expression of uncertainty in measurement” Developing and using measurement models. [15] ILAC P 10:2002. ILAC Policy on traceability of measurement results. International Laboratory Accreditation Cooperation. [16] ISO 13528:2005. Statistical methods for use in proficiency testing by interlaboratory comparisons. [17] ISO/IEC 17043:2010, IDT. Conformity assessment – General requirements for proficiency testing, https://www.iso.org/standard/29366.html. [18] ISO/IEC 17025:2006 General requirements for the competence of testing and calibration laboratories, IDT. [19] C. Lawson, R. Henson 1986 Solving Least Squares Problems/Trans. from English. Science. Head Editor phys.- mat. lit. p. 232. |
| References (International): | [1] JCGM 200:2012. International vocabulary of metrology – Basic and general concepts and associated terms (VIM). [2] M. G. Cox, The evaluation of key comparison data. Metrologia. V. 39, p. 589–595, 2002. [3] Nielsen, L. Identification and handling of discrepant measurements in key comparisons. Measurement Techniques. 46(5), 513–522, 2003: https://doi.org/10.1023/A:1025373701977. [4] D. R. White On the analysis of measurement comparisons. Metrologia. V. 41, 2004, IOPscience (http://iopscience.iop.org/0026-1394/41/3/003). [5] A. Koo, J. F. Clare On the equivalence of generalized least-squares approaches to the evaluation of measurement comparisons. Metrologia. V. 49, 2012, IOPscience (http://iopscience.iop.org/article/10.1088/0026-1394/49/3/340). [6] C. Elster, B. Toman Analysis of key comparison data: a critical assessment of elements of current practice with suggested improvement. Metrologia. Vol. 50, 2013, IOPscience (http://iopscience.iop.org/0026-394/13/050549). [7] Iu. Kuzmenko, O. Samoilenko Processing by least squares method of the measurement results for key, regional and supplementary comparison of the measurement standards. Metrology and Instruments. No. 2, pp. 3–13, 2018. [8] JCGM 100:2008. Evaluation of measurement data – Guide to the expression of uncertainty in measurement. [9] ISO 17123-4:2012. Optics and optical instruments – Field procedures for testing geodetic and surveying instruments. Part 4: Electro-optical distance meter (EDM measurements to reflectors). [10] O. Samoilenko, O. Adamenko Length measurement results processing for adjustment or calibration of distance meters and tachometers on the infield comparator, Sc. & Techn. Anthology "Geodesy, cartography and aerophotography", Pub. 90, pp. 15–28, 2019. [11] R. Schwartz, M. Borys, F. Scholz Guide to Mass Determination with High Accuracy PTB-MA-80, Physikalisch- Technische Bundesanstalt Braunschweig und Berlin Presse, 2007. [12] O. Samoilenko, O. Adamenko, V. Kalinichenko O. Methodic and results of the moving laser interferometers direct adjustments Renishaw XL-80. Metrology and Instruments, No. 4, 2018. [13] JCGM 102:2008. Evaluation of measurement data – Supplement 2 to the "Guide to the expression of uncertainty in measurement" Extension to any number of output quantities. [14] JCGM 103 CD 2018-10-04. Evaluation of measurement data – Supplement 2 to the "Guide to the expression of uncertainty in measurement" Developing and using measurement models. [15] ILAC P 10:2002. ILAC Policy on traceability of measurement results. International Laboratory Accreditation Cooperation. [16] ISO 13528:2005. Statistical methods for use in proficiency testing by interlaboratory comparisons. [17] ISO/IEC 17043:2010, IDT. Conformity assessment – General requirements for proficiency testing, https://www.iso.org/standard/29366.html. [18] ISO/IEC 17025:2006 General requirements for the competence of testing and calibration laboratories, IDT. [19] C. Lawson, R. Henson 1986 Solving Least Squares Problems/Trans. from English. Science. Head Editor phys, mat. lit. p. 232. |
| Content type: | Article |
| Appears in Collections: | Вимірювальна техніка та метрологія. – 2021. – Випуск 82, №1 |
| File | Description | Size | Format | |
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| 2021v82n2_Kuzmenko_I-Multipurpose_measurement_29-37.pdf | 381.22 kB | Adobe PDF | View/Open | |
| 2021v82n2_Kuzmenko_I-Multipurpose_measurement_29-37__COVER.png | 1.5 MB | image/png | View/Open |
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