Multipurpose measurement models for adjustment by the least-squares method
dc.citation.epage | 37 | |
dc.citation.issue | 2 | |
dc.citation.journalTitle | Вимірювальна техніка та метрологія | |
dc.citation.spage | 29 | |
dc.citation.volume | 82 | |
dc.contributor.affiliation | State Enterprise “Ukrmetrteststandard” | |
dc.contributor.author | Kuzmenko, Iuriy | |
dc.contributor.author | Samoilenko, Olexandr | |
dc.contributor.author | Tsiporenko, Serhiy | |
dc.coverage.placename | Львів | |
dc.coverage.placename | Lviv | |
dc.date.accessioned | 2022-05-23T11:23:54Z | |
dc.date.available | 2022-05-23T11:23:54Z | |
dc.date.created | 2021-02-23 | |
dc.date.issued | 2021-02-23 | |
dc.description.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. | |
dc.format.extent | 29-37 | |
dc.format.pages | 9 | |
dc.identifier.citation | 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. | |
dc.identifier.citationen | 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. | |
dc.identifier.doi | https://doi.org/10.23939/istcmtm2021.02.029 | |
dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/56830 | |
dc.language.iso | en | |
dc.publisher | Видавництво Львівської політехніки | |
dc.publisher | Lviv Politechnic Publishing House | |
dc.relation.ispartof | Вимірювальна техніка та метрологія, 2 (82), 2021 | |
dc.relation.ispartof | Measuring equipment and metrology, 2 (82), 2021 | |
dc.relation.references | [1] JCGM 200:2012. International vocabulary of metrology – Basic and general concepts and associated terms (VIM). | |
dc.relation.references | [2] M. G. Cox, The evaluation of key comparison data. Metrologia. V. 39, p. 589–595, 2002. | |
dc.relation.references | [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. | |
dc.relation.references | [4] D. R. White On the analysis of measurement comparisons. Metrologia. V. 41, 2004, IOPscience (http://iopscience.iop.org/0026-1394/41/3/003). | |
dc.relation.references | [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). | |
dc.relation.references | [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). | |
dc.relation.references | [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. | |
dc.relation.references | [8] JCGM 100:2008. Evaluation of measurement data – Guide to the expression of uncertainty in measurement. | |
dc.relation.references | [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). | |
dc.relation.references | [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. | |
dc.relation.references | [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. | |
dc.relation.references | [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. | |
dc.relation.references | [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. | |
dc.relation.references | [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. | |
dc.relation.references | [15] ILAC P 10:2002. ILAC Policy on traceability of measurement results. International Laboratory Accreditation Cooperation. | |
dc.relation.references | [16] ISO 13528:2005. Statistical methods for use in proficiency testing by interlaboratory comparisons. | |
dc.relation.references | [17] ISO/IEC 17043:2010, IDT. Conformity assessment – General requirements for proficiency testing, https://www.iso.org/standard/29366.html. | |
dc.relation.references | [18] ISO/IEC 17025:2006 General requirements for the competence of testing and calibration laboratories, IDT. | |
dc.relation.references | [19] C. Lawson, R. Henson 1986 Solving Least Squares Problems/Trans. from English. Science. Head Editor phys.- mat. lit. p. 232. | |
dc.relation.referencesen | [1] JCGM 200:2012. International vocabulary of metrology – Basic and general concepts and associated terms (VIM). | |
dc.relation.referencesen | [2] M. G. Cox, The evaluation of key comparison data. Metrologia. V. 39, p. 589–595, 2002. | |
dc.relation.referencesen | [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. | |
dc.relation.referencesen | [4] D. R. White On the analysis of measurement comparisons. Metrologia. V. 41, 2004, IOPscience (http://iopscience.iop.org/0026-1394/41/3/003). | |
dc.relation.referencesen | [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). | |
dc.relation.referencesen | [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). | |
dc.relation.referencesen | [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. | |
dc.relation.referencesen | [8] JCGM 100:2008. Evaluation of measurement data – Guide to the expression of uncertainty in measurement. | |
dc.relation.referencesen | [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). | |
dc.relation.referencesen | [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. | |
dc.relation.referencesen | [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. | |
dc.relation.referencesen | [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. | |
dc.relation.referencesen | [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. | |
dc.relation.referencesen | [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. | |
dc.relation.referencesen | [15] ILAC P 10:2002. ILAC Policy on traceability of measurement results. International Laboratory Accreditation Cooperation. | |
dc.relation.referencesen | [16] ISO 13528:2005. Statistical methods for use in proficiency testing by interlaboratory comparisons. | |
dc.relation.referencesen | [17] ISO/IEC 17043:2010, IDT. Conformity assessment – General requirements for proficiency testing, https://www.iso.org/standard/29366.html. | |
dc.relation.referencesen | [18] ISO/IEC 17025:2006 General requirements for the competence of testing and calibration laboratories, IDT. | |
dc.relation.referencesen | [19] C. Lawson, R. Henson 1986 Solving Least Squares Problems/Trans. from English. Science. Head Editor phys, mat. lit. p. 232. | |
dc.relation.uri | https://doi.org/10.1023/A:1025373701977 | |
dc.relation.uri | http://iopscience.iop.org/0026-1394/41/3/003 | |
dc.relation.uri | http://iopscience.iop.org/article/10.1088/0026-1394/49/3/340 | |
dc.relation.uri | http://iopscience.iop.org/0026-394/13/050549 | |
dc.relation.uri | https://www.iso.org/standard/29366.html | |
dc.rights.holder | © Національний університет “Львівська політехніка”, 2021 | |
dc.subject | Multipurpose measurement models | |
dc.subject | Least-squares method | |
dc.subject | Measurement subjects and objects | |
dc.subject | Comprehensive measurement traceability network | |
dc.subject | Uncertainty | |
dc.title | Multipurpose measurement models for adjustment by the least-squares method | |
dc.type | Article |
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