Precise Measurand Value Estimating by Interval Fusion with Preference Aggregation: Heteroscedasticity Case; Global trends in Testing, Diagnostics & Inspection for 2030
| Parent link: | Global trends in Testing, Diagnostics & Inspection for 2030.— 2020.— [P. 208-213] |
|---|---|
| Glavni avtor: | Muravyov (Murav’ev) S. V. Sergey Vasilyevich |
| Korporativna značnica: | Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Отделение автоматизации и робототехники |
| Drugi avtorji: | Khudonogova L. I. Ludmila Igorevna, Dai Minh Ho |
| Izvleček: | Title screen It is considered the problem of determination of a reference value for heteroscedastic interval data. For this aim, the newly proposed by the authors interval fusion with preference aggregation (IF&PA) procedure is used. The procedure, modified to improve the accuracy of the fusion result, is presented and applied to process the heteroscedastic data of a real experiment. The experiment consisted in determination of the reference value of DC voltage based on the readings of five different models of multimeters. For comparison, the same data were processed by the method of weighted mean. For two methods, an absolute deviations of the obtained reference values from the nominal value (which is a high-precision calibrator output) and reference value uncertainties were estimated. It is shown that the IF&PA procedure allows to obtain a reference value very close to nominal value and with considerably reduced uncertainty in comparison with traditional method based on weighted mean calculation. |
| Jezik: | angleščina |
| Izdano: |
2020
|
| Teme: | |
| Online dostop: | https://www.imeko.org/publications/tc10-2020/IMEKO-TC10-2020-029.pdf |
| Format: | MixedMaterials Elektronski Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=665068 |
Podobne knjige/članki
Analysis of heteroscedastic measurement data by the self-refining method of interval fusion with preference aggregation – IF&PA; Measurement; Vol. 183
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2021)
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2021)
Adjustment of fundamental physical constant values using the interval fusion with preference aggregation; Measurement; Vol. 163
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2020)
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2020)
Interval Data Fusion with Preference Aggregation for Balancing Measurement Accuracy and Energy Consumption in WSN; Wireless Personal Communications; Vol. 118, iss. 4
od: Khudonogova L. I. Ludmila Igorevna
Izdano: (2021)
od: Khudonogova L. I. Ludmila Igorevna
Izdano: (2021)
A consensus ranking based proposal for combining data in adjustment of the fundamental physical constant values; Testing, Diagnostics & Inspection as a comprehensive value chain for Quality & Safety
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2019)
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2019)
Recognition Ability of Interval Fusion with Preference Aggregation in Weld Defects Images Analysis; Global trends in Testing, Diagnostics & Inspection for 2030
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2020)
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2020)
Inertial MEMS Sensors Accuracy Improvement by Interval Fusion with Preference Aggregation; SENSORS 2020
Izdano: (2020)
Izdano: (2020)
Automatic Segmentation by the Method of Interval Fusion with Preference Aggregation When Recognizing Weld Defects; Russian Journal of Nondestructive Testing; Vol. 59, iss. 12
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2023)
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2023)
Weld Defects Automatic Visual Recognition by Combined Application of Canny Edge Detector and Interval Fusion with Preference Aggregation; Information, Control, and Communication Technologies (ICCT)
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2022)
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2022)
Method of interval fusion with preference aggregation in brightness thresholds selection for automatic weld surface defects recognition; Measurement; Vol. 236
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2024)
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2024)
Агрегирование предпочтений в интерпретации данных энергетических обследований; Известия Томского политехнического университета [Известия ТПУ]. Инжиниринг георесурсов; Т. 329, № 12
od: Муравьев С. В. Сергей Васильевич
Izdano: (2018)
od: Муравьев С. В. Сергей Васильевич
Izdano: (2018)
Kemeny rule for preference aggregation: Reducing all exact solutions to a single one; Measurement; Vol. 182
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2021)
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2021)
Robust Determination of Performance Loss Rate for Photovoltaic Systems; IEEE Sensors Letters; Vol. 8, iss. 9
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2024)
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2024)
Prioritizing sensed data transmission by consensus relation in wireless sensor network; Man, Science & Measurement
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2008)
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2008)
Метод агрегирования предпочтений при определении пороговых значений яркости для распознавания объектов на оптических изображениях; Известия Томского политехнического университета [Известия ТПУ]. Инжиниринг георесурсов; Т. 335, № 3
od: Нгуен Д. К. Дык Кыонг
Izdano: (2024)
od: Нгуен Д. К. Дык Кыонг
Izdano: (2024)
Факторы межрегиональной интеграции продовольственных рынков Приволжского федерального округа; Векторы благополучия: экономика и социум; Т. 53, № 4
od: Мазеина Е. А. Екатерина Александровна
Izdano: (2025)
od: Мазеина Е. А. Екатерина Александровна
Izdano: (2025)
Success factors for information technology supported international technology transfer: Finding expert consensus; Information & Management; Vol. 43, iss. 5
Izdano: (2006)
Izdano: (2006)
Робастный выбор пороговых значений яркости для методов автоматического распознавания дефектов сварного шва: диссертация на соискание учёной степени кандидата технических наук; спец. 2.3.1
od: Нгуен Дык Кыонг
Izdano: (Томск, 2024)
od: Нгуен Дык Кыонг
Izdano: (Томск, 2024)
Робастный выбор пороговых значений яркости для методов автоматического распознавания дефектов сварного шва: автореферат диссертации на соискание учёной степени кандидата технических наук; спец. 2.3.1
od: Нгуен Дык Кыонг
Izdano: (Томск, 2024)
od: Нгуен Дык Кыонг
Izdano: (Томск, 2024)
Агрегирование предпочтений при выборе цветовой модели для цифрового цветометрического анализа состава веществ; Известия Томского политехнического университета [Известия ТПУ]. Инжиниринг георесурсов; Т. 331, № 8
od: Муравьев С. В. Сергей Васильевич
Izdano: (2020)
od: Муравьев С. В. Сергей Васильевич
Izdano: (2020)
Interval data fusion with preference aggregation; Measurement; Vol. 116
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2018)
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2018)
Determination of vertex polynomials to analyse robust stability of control systems with interval parameters; IET Control Theory & Applications; Vol. 14, iss. 18
Izdano: (2020)
Izdano: (2020)
The interval-parametric synthesis of a linear controller based on the coefficient parameters of robust stability and oscillation; 15th international conference on Sciences and Techniques of Automatic control & computer engineering - STA'2014, Hammamet, Tunisia, December 21-23, 2014
od: Gayvoronskiy S. A. Sergey Anatolievich
Izdano: (2014)
od: Gayvoronskiy S. A. Sergey Anatolievich
Izdano: (2014)
Parametric Synthesis of a Robust Controller for Maximising the Response of an Interval Control System; International Review of Automatic Control (IREACO); Vol. 15, № 2
od: Gaivoronsky (Gayvoronsky) S. A. Sergey Anatolievich
Izdano: (2022)
od: Gaivoronsky (Gayvoronsky) S. A. Sergey Anatolievich
Izdano: (2022)
Aggregation of manufactured nanoparticles in aqueous solutions of mono- and bivalent electrolytes; Journal of Nanoparticle Research; Vol. 17
Izdano: (2015)
Izdano: (2015)
Maximizing Stability Degree of Control Systems under Interval Uncertainty Using a Coefficient Method; Reliable computing; Vol. 19, iss. 3
od: Pushkarev M. I. Maksim Ivanovich
Izdano: (2014)
od: Pushkarev M. I. Maksim Ivanovich
Izdano: (2014)
Maximizing stability degree of interval systems using coefficient method; 15th GAMM-IMACS International Symposiumon Scientific Computing, Computer Arithmeticsand Verified Numerics SCAN’2012
od: Pushkarev M. I. Maksim Ivanovich
Izdano: (2012)
od: Pushkarev M. I. Maksim Ivanovich
Izdano: (2012)
Rankings as ordinal scale measurement results; Metrology and Measurement Systems; Vol. 13, iss. 1
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2007)
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2007)
Surface Acid-Base Characteristics and their Contribution to Aggregative Stability of Nanoparticles; Advanced Materials Research; Vol. 872 : Russian-German Forum on Nanotechnology
Izdano: (2014)
Izdano: (2014)
Motion Control System for a Remotely Operated Vehicle with Interval Parameters; International Journal of Mechanical Engineering and Robotics Research; Vol. 6, No. 5
od: Gaivoronsky (Gayvoronsky) S. A. Sergey Anatolievich
Izdano: (2017)
od: Gaivoronsky (Gayvoronsky) S. A. Sergey Anatolievich
Izdano: (2017)
Methods of rating competitors for Quality Awards: tentative comparative analysis; Advances of Measurement Science
Izdano: (2004)
Izdano: (2004)
Behavior of ZnO nanoparticles in glycine solution: pH and size effect on aggregation and adsorption; Colloid and Interface Science Communications; Vol. 39
Izdano: (2020)
Izdano: (2020)
Building an Aggregate Rating of Popular SaaS Services Based on Organization of Customer Support Channels; Lecture Notes in Electrical Engineering (LNEE); Vol. 857 : Advances in Automation III
od: Razumnikov S. V. Sergey Viktorovich
Izdano: (2022)
od: Razumnikov S. V. Sergey Viktorovich
Izdano: (2022)
Arrangement of dominant poles localization areas of automatic control interval system in specified truncated sector; Bulletin of the Tomsk Polytechnic University; Vol. 311, № 5
od: Zamyatin S. V.
Izdano: (2007)
od: Zamyatin S. V.
Izdano: (2007)
Mathematical and Software for Building the Rating of the Largest IaaS Suppliers by the Threshold Aggregation Method; Lecture Notes in Electrical Engineering (LNEE); Vol. 986 : Advances in Automation IV
od: Razumnikov S. V. Sergey Viktorovich
Izdano: (2023)
od: Razumnikov S. V. Sergey Viktorovich
Izdano: (2023)
Interlayer‐Sensitized Linear and Nonlinear Photoluminescence of Quasi‐2D Hybrid Perovskites Using Aggregation‐Induced Enhanced Emission Active Organic Cation Layers; Advanced Functional Materials; Vol. 30, iss. 16
Izdano: (2020)
Izdano: (2020)
Synthesis of a linear controller for a control system with interval parameters on a base of D-partition in vertices of a coefficient's polyhedron of characteristic polynomial; Asian Journal of Control; Vol. 25, iss. 1
od: Gaivoronsky (Gayvoronsky) S. A. Sergey Anatolievich
Izdano: (2022)
od: Gaivoronsky (Gayvoronsky) S. A. Sergey Anatolievich
Izdano: (2022)
Adaptive-Robust Stabilization of Interval Control System Quality on a Base of Dominant Poles Method; Automation and Remote Control; Vol. 82, iss. 1
od: Khozhaev I. V. Ivan Valerievich
Izdano: (2021)
od: Khozhaev I. V. Ivan Valerievich
Izdano: (2021)
The most crucial aspects influencing students choice of employer and current tendencies; Journal of Economics and Social Sciences; № 2
od: Antonova T. N.
Izdano: (2013)
od: Antonova T. N.
Izdano: (2013)
Control System for an Object with Interval-Given Parameters: Quality Analysis Based on Leading Coefficients of Characteristic Polynomials; International Review of Automatic Control (IREACO); Vol. 11, № 4
Izdano: (2018)
Izdano: (2018)
Группировка и обобщение данных. Рекомендации по выполнению работы и перечень типовых заданий учебно-методическое пособие для бакалавров по направлению «управление в технических системах» профиля «управление и информатика в технических системах», а также специалистов по специальности «компьютерная безопасность» специализации «информационная безопасность объектов информатизации на базе компьютерных систем»
od: Васильева М. А.
Izdano: (Москва, РУТ (МИИТ), 2023)
od: Васильева М. А.
Izdano: (Москва, РУТ (МИИТ), 2023)
Podobne knjige/članki
-
Analysis of heteroscedastic measurement data by the self-refining method of interval fusion with preference aggregation – IF&PA; Measurement; Vol. 183
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2021) -
Adjustment of fundamental physical constant values using the interval fusion with preference aggregation; Measurement; Vol. 163
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2020) -
Interval Data Fusion with Preference Aggregation for Balancing Measurement Accuracy and Energy Consumption in WSN; Wireless Personal Communications; Vol. 118, iss. 4
od: Khudonogova L. I. Ludmila Igorevna
Izdano: (2021) -
A consensus ranking based proposal for combining data in adjustment of the fundamental physical constant values; Testing, Diagnostics & Inspection as a comprehensive value chain for Quality & Safety
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2019) -
Recognition Ability of Interval Fusion with Preference Aggregation in Weld Defects Images Analysis; Global trends in Testing, Diagnostics & Inspection for 2030
od: Muravyov (Murav’ev) S. V. Sergey Vasilyevich
Izdano: (2020)