Search Results for “measurement error” – Collected book of scientific-technical articles https://journal.yuzhnoye.com Space technology. Missile armaments Tue, 02 Apr 2024 12:35:49 +0000 en-GB hourly 1 https://journal.yuzhnoye.com/wp-content/uploads/2020/11/logo_1.svg Search Results for “measurement error” – Collected book of scientific-technical articles https://journal.yuzhnoye.com 32 32 22.2.2018 Uncertainty Calculation Procedure during Measuring Instrumentation Calibration https://journal.yuzhnoye.com/content_2018_2-en/annot_22_2_2018-en/ Thu, 07 Sep 2023 12:34:07 +0000 https://journal.yuzhnoye.com/?page_id=30810
This article proposes the measurement uncertainty calculation procedure during measuring instrumentation calibration, according to which the following calculations shall be made: a) of standard uncertainty of A type for corrected observation results obtained during calibration; b) of standard uncertainties of B type caused by error or uncertainty of working standard applied, calculation discreteness or calibrated measuring instrument division value, variation of calibrated measuring instrument indications; c) of total standard measurement uncertainty; d) of augmented measurement uncertainty.
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22. Uncertainty Calculation Procedure during Measuring Instrumentation Calibration

Organization:

Yangel Yuzhnoye State Design Office, Dnipro, Ukraine

Page: Kosm. teh. Raket. vooruž. 2018 (2); 184-189

DOI: https://doi.org/10.33136/stma2018.02.184

Language: Russian

Annotation: The effective documents in the field of metrological support require evaluating measurement uncertainty during measuring instrumentation calibration. In Ukraine, there is no regulated procedure of uncertainty calculation during measuring instrumentation calibration, which causes the necessity of developing such procedure. This article proposes the measurement uncertainty calculation procedure during measuring instrumentation calibration, according to which the following calculations shall be made: a) of standard uncertainty of A type for corrected observation results obtained during calibration; b) of standard uncertainties of B type caused by error or uncertainty of working standard applied, calculation discreteness or calibrated measuring instrument division value, variation of calibrated measuring instrument indications; c) of total standard measurement uncertainty; d) of augmented measurement uncertainty. As an example, the results of calculation of augmented measurement uncertainty during calibration are presented: – for 795M107B vibrometer in complete set with AC102-1A accelerometer; – for alternating voltage measurement channel of a measuring and computing complex of MIC type; – for a manometer of MT type. The obtained results of measurement uncertainty calculation are presented in the form of tables of measurement uncertainty budget, which shall be entered in the measuring instrument calibration certificate together with the observation results obtained during calibration. The proposed uncertainty calculation procedure is applicable for the given types of measuring instruments whose calibration is performed by method of direct measurement of known measurement values represented or controlled by working standards.

Key words: augmented measurement uncertainty, multiple measurements, measurement uncertainty budget, vibrometer, manometer of MT type, computing complex of MIC type

Bibliography:
1. The Law of Ukraine “On Metrology and Metrological Activity”. Supreme Rada News (SRN). 2014. No. 30. P. 1008.
2. General Requirements to Competence of Testing and Calibration Laboratories (ISO/IEC17025:2005, IDT): DSTU ISO/IEC17025:2006. К., 2007. 26 p.
3. Guide to the Expression of Uncertainty in Measurement. Geneva: ISO, 1993. 101 p.
4. Evaluation of the Uncertainty of Measurement in Calibration: ЕА–4/02 М:2013. European Association for Accreditation, 2013. 75 p.
5. Bondar’ M. A et al. Methodology of Measurement Uncertainty Evaluation during Measuring Instrumentation Certification. Space Technology. Missile Armaments: Collection of scientific-technical articles. 2017. Issue 1. P. 3-7.
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22.2.2018 Uncertainty Calculation Procedure during Measuring Instrumentation Calibration
22.2.2018 Uncertainty Calculation Procedure during Measuring Instrumentation Calibration
22.2.2018 Uncertainty Calculation Procedure during Measuring Instrumentation Calibration

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19.2.2018 Control of Validity and Assessment of Accuracy of Telemetry Results during Full-Scale Test of Launch Vehicles https://journal.yuzhnoye.com/content_2018_2-en/annot_19_2_2018-en/ Thu, 07 Sep 2023 12:23:58 +0000 https://journal.yuzhnoye.com/?page_id=30801
2018 (2); 157-172 DOI: https://doi.org/10.33136/stma2018.02.157 Language: Russian Annotation: The measurement errors upon conducting flight tests for launch vehicles are evaluated by considering the interferences and uncertainties in the measurement system procedure. The unrevealed systematic components create the basic uncertainty in the evaluation of the examined parameter’s total measurement error. To evaluate the precision and measurement accuracy of a particular launch, the article suggests specifying the preliminary data on measurement error components determined during prelaunch processing and launch. Key words: flight tests , sensor , measurement error , mathematical model Bibliography: 1. Evaluation of Measurement Errors. flight tests , sensor , measurement error , mathematical model .
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19. Control of Validity and Assessment of Accuracy of Telemetry Results during Full-Scale Test of Launch Vehicles

Organization:

Yangel Yuzhnoye State Design Office, Dnipro, Ukraine

Page: Kosm. teh. Raket. vooruž. 2018 (2); 157-172

DOI: https://doi.org/10.33136/stma2018.02.157

Language: Russian

Annotation: The measurement errors upon conducting flight tests for launch vehicles are evaluated by considering the interferences and uncertainties in the measurement system procedure. Formal use of this approach can lead to unpredictable consequences. More reliable evaluation of errors upon conducted measurements can be achieved if the measurement process is regarded as a procedure of successive activities for designing, manufacturing, and testing the measurement system and the rocket including measurements and their processing during the after-flight analysis of the received data. The sampling rates of the main controlled parameters are three to ten times higher than the frequency range of their changing. Therefore, it is possible to determine the characteristics of the random error components directly on the basis of registered data. The unrevealed systematic components create the basic uncertainty in the evaluation of the examined parameter’s total measurement error. To evaluate the precision and measurement accuracy of a particular launch, the article suggests specifying the preliminary data on measurement error components determined during prelaunch processing and launch. Basic structures of algorithms for evaluation of precision and measurement accuracy for certain mathematical models that form the measured parameters were considered along with the practical case when static correlation existed among the measured parameters.

Key words: flight tests, sensor, measurement error, mathematical model

Bibliography:
1. Novitsky P. V., Zograf I. A. Evaluation of Measurement Errors. L., 1985. 248 p.
2. Shmutzer E. Relativity Theory. Modern Conception. Way to Unity of Physics. М., 1981. 230 p.
3. Blekhman I. I., Myshkis A. D., Panovenko Y. G. Applied Mathematics: Subject, Logic, Peculiarities of Approaches. К., 1976. 270 p.
4. Moiseyev N. N. Mathematical Problems of System Analysis. М., 1981. 488 p.
5. Bryson A., Ho Yu-Shi. Applied Theory of Optimal Control. М., 1972. 544 p.
6. Yevlanov L. G. Monitoring of Dynamic Systems. М., 1972. 424 p.
7. Sergiyenko A. B. Digital Signal Processing: Collection of publications. 2011. 768 p.
8. Braslavsky D. A., Petrov V. V. Precision of Measuring Devices. М., 1976. 312 p.
9. Glinchenko A. S. Digital Signal Processing: Course of lectures. Krasnoyarsk, 2008. 242 p.
10. Garmanov A. V. Practice of Optimization of Signal-Noise Ratio at ACP Connection in Real Conditions. М., 2002. 9 p.
11. Denosenko V. V., Khalyavko A. N. Interference Protection of Sensors and Connecting Wires of Industrial Automation Systems. SТА. No. 1. 2001. P. 68-75.
12. Garmanov A. V. Connection of Measuring Instruments. Solution of Electric Compatibility and Interference Protection Problems. М., 2003. 41 p.
13. TP ACS Encyclopedia. bookASUTR.ru.
14. Smolyak S. A., Titarenko B. P. Stable Estimation Methods. М., 1980. 208 p.
15. Fomin A. F. et al. Rejection of Abnormal Measurement Results. М., 1985. 200 p.
16. Medich J. Statistically Optimal Linear Estimations and Control. М., 1973. 440 p.
17. Sage E., Mells J. Estimation Theory and its Application in Communication and Control. М., 1976. 496 p.
18. Filtration and Stochastic Control in Dynamic Systems: Collection of articles / Under the editorship of K. T. Leondes. М., 1980. 408 p.
19. Krinetsky E. I. et al. Flight Tests of Rockets and Spacecraft. М., 1979. 464 p.
20. Viduyev N. G., Grigorenko A. G. Mathematical Processing of Geodesic Measurements. К., 1978. 376 p.
21. Aivazyan S. A., Yenyukov I. S., Meshalkin L. D. Applied Statistics. Investigation of Dependencies. М., 1985. 487 p.
22. Sirenko V. N., Il’yenko P. V., Semenenko P. V. Use of Statistic Approaches in Analysis of Gas Dynamic Parameters in LV Vented Bays. Space Technology. Missile Armaments: Collection of scientific-technical articles. Issue 1. P. 43-47.
23. Granovsky V. A., Siraya T. N. Methods of Experimental Data Processing at Measurements. L., 1990. 288 p.
24. Zhovinsky A. N., Zhovinsky V. N. Engineering Express Analysis of Random Processes. М., 1979. 112 p.
25. Anishchenko V. A. Control of Authenticity of Duplicated Measurements in Uncertainty Conditions. University News. Minsk, 2010. No. 2. P. 11-18.
26. Anishchenko V. A. Reliability and Accuracy of Triple Measurements of Analog Technological Variables. University News. Minsk, 2017. No. 2. P. 108-117.
27. Shenk H. Theory of Engineering Experiment. М., 1972. 381 p.
28. Bessonov А. А., Sverdlov L. Z. Methods of Statistic Analysis of Automatic Devices Errors. L., 1974. 144 p.
29. Pugachyov V. N. Combined Methods to Determine Probabilistic Characteristics. М., 1973. 256 p. https://doi.org/10.21122/1029-7448-2017-60-2-108-117
30. Gandin L. S., Kagan R. L. Statistic Methods of Meteorological Data Interpretation. L., 1976. 360 p.
31. Zheleznov I. G., Semyonov G. P. Combined Estimation of Complex Systems Characteristics. М., 1976. 52 p.
32. Vt222М Absolute Pressure Sensor: ТU Vt2.832.075TU. Penza, 1983.
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19.2.2018 Control of Validity and Assessment of Accuracy of Telemetry Results during Full-Scale Test of Launch Vehicles
19.2.2018 Control of Validity and Assessment of Accuracy of Telemetry Results during Full-Scale Test of Launch Vehicles
19.2.2018 Control of Validity and Assessment of Accuracy of Telemetry Results during Full-Scale Test of Launch Vehicles

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10.2.2018 Calculation of Gas Flow in High-Altitude Engine Nozzle and Experience of Using Water-Cooled Nozzle Head during Tests https://journal.yuzhnoye.com/content_2018_2-en/annot_10_2_2018-en/ Thu, 07 Sep 2023 11:29:45 +0000 https://journal.yuzhnoye.com/?page_id=30766
The calculation allows obtaining a temperature profile of the wall and providing the recommendations for selection of pressure measurement place in the nozzle extension for the purpose of reducing sensors indication error.
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10. Calculation of Gas Flow in High-Altitude Engine Nozzle and Experience of Using Water-Cooled Nozzle Head during Tests

Organization:

Yangel Yuzhnoye State Design Office, Dnipro, Ukraine

Page: Kosm. teh. Raket. vooruž. 2018 (2); 83-93

DOI: https://doi.org/10.33136/stma2018.02.083

Language: Russian

Annotation: At Yuzhnoye State Design Office, the Cyclone-4 launch vehicle 3rd stage engine has been developed and is under testing. For adjustment of the engine and test bench systems, in the first firing tests the radiation-cooled nozzle extension was replaced with a steel water-cooled one. It was planned to start the engine with water-cooled nozzle extension without vacuumizing and without gad dynamic pipe, which conditioned operation with flow separation at the output edge of water-cooled nozzle extension. Therefore, the calculation of flow in the nozzle with water-cooled extension, flow separation place, and thermal load on watercooled nozzle extension during operation in ground conditions is an important task. Selection of turbulent flow model has a noticeable impact on prediction of flow characteristics. The gas dynamic analysis of the nozzle with water-cooled extension showed the importance of using the turbulent flow model k-ω SST for the flows with internal separation of boundary layer and with flow separation at nozzle section. The use the flow model k-ω SST for calculation of nozzle with flow separation or with internal transitional layer allows adequately describing the flow pattern, though, as the comparison with experimental data showed, this model predicts later flow separation from the wall than that obtained in the tests. The calculation allows obtaining a temperature profile of the wall and providing the recommendations for selection of pressure measurement place in the nozzle extension for the purpose of reducing sensors indication error. With consideration for the special nature of the nozzle extension wall temperature field, the cooling mode was selected. The tests of RD861K engine nozzle with water-cooled extension allow speaking about its successful use as a required element for testing engine start and operation in ground conditions without additional test bench equipment.

Key words: turbulent flow, flow separation, cooling, technological extension

Bibliography:
1. Massiet P., Rocheque E. Experimental Investigation of Exhaust Diffusors for Rocket Engines. Investigation of Liquid Rocket Engines. М., 1964. P. 96-109.
2. Mezhevov A. V., Skoromnov V. I., Kozlov A. V. et al. Introduction of Radiation Cooling Nozzle Head of Made of Carbon-Carbon Composite Material on DM-SL Upper Stage 11D58M Main Engine. News of Samara Aerospace University. No. 2 (10). 2006. P. 260-264.
3. Fluent. Software Package, Ver. 6.2.16, Fluent Inc., Lebanon, NH, 2004.
4. Wilcox D. C. Turbulence Modeling for CFD. DCW Industries, Inc. La Canada, California, 1998. 460 р.
5. Andersen D., Tannehill J., Platcher R. Computational Hydromechanics and Heat Exchange: in 2 volumes М., 1990. 384 p.
6. Rodriguez C. G., Culter, A. D. Numerical Analysis of the SCHOLAR Supersonic Combustor, NASA-CR-2003-212689. 2003. 36 р.
7. Rajasekaran A., Babu V. Numerical Simulation of Three-dimensional Reacting Flow in a Model Supersonic Combustor. Journal of Propulsion and Power. Vol. 22. No. 4. 2006. Р. 820-827. https://doi.org/10.2514/1.14952
8. Spalart P., Allmaras S. A one-equation turbulence model for aerodynamic flows: Technical Report. American Institute of Aero-nautics and Astronautics. AIAA-92-0439. 1992. Р. 5-21. https://doi.org/10.2514/6.1992-439
9. Launder B. E., Spalding D. B. Lectures in Mathematical Models of Turbulence. London, 1972. Р. 157-162.
10. Rajasekaran A., Babu V. Numerical Simulation of Three-dimensional Reacting Flow in a Model Supersonic Combustor. Journal of Propulsion and Power. Vol. 22. No. 4. 2006. Р. 820-827. https://doi.org/10.2514/1.14952
11. Ten-See Wang. Multidimensional Unstructured Grid Liquid Rocket-Engine Nozzle Performance and Heat Transfer Analysis. Journal of Propulsion and Power. Vol. 22. No. 1. 2006. 21 р. https://doi.org/10.2514/1.14699
12. Hyun Ko, Woong-Sup Yoon. Performance Analysis of Secondary Gas Injection into a Conical Rocket Nozzle. Journal of Propulsion and Power. Vol. 18, No. 3. 2002. Р. 585-591. https://doi.org/10.2514/2.5972
13. Wilson E. A., Adler D., Bar-Yoseph P. Thrust-Vectoring Nozzle Performance Mode-ling. Journal of Propulsion and Power. Vol. 19, No. 1. 2003. Р. 39-47. https://doi.org/10.2514/2.6100
14. Gross A., Weiland C. Numerical Simulation of Hot Gas Nozzle Flows. Journal of Propulsion and Power. Vol. 20, No. 5. 2004. Р. 879-891. https://doi.org/10.2514/1.5001
15. Gross A., Weiland C. Numerical Simulation of Separated Cold Gas Nozzle Flows. Journal of Propulsion and Power. Vol. 20, No. 3. 2004. Р. 509-519. https://doi.org/10.2514/1.2714
16. Deck S., Guillen P. Numerical Simulation of Side Loads in an Ideal Truncated Nozzle. Journal of Propulsion and Power. Vol. 18, No. 2. 2002. Р. 261-269. https://doi.org/10.2514/2.5965
17. Östlund J., Damgaard T., Frey M. Side-Load Phenomena in Highly Overexpanded Rocket Nozzle. Journal of Propulsion and Power. Vol. 20, No. 4. 2004. Р. 695-704. https://doi.org/10.2514/1.3059
18. Goldberg U. C. Separated Flow Treatment with a New Turbulence Model. AIAA Journal. Vol. 24, No. 10. 1986. Р. 1711-1713. https://doi.org/10.2514/3.9509
19. Golovin V.S., Kolchugin B.A., Labuntsov D.A. Experimental Investigation of Heat Exchange and Critical Heat Loads at Water Boiling in Free Motion Conditions. 1963. Vol. 6, No 2. p. 3-7.
20. Mikheyev М. А., Mikheyeva I. M. Heat-Transfer Principles. 2nd edition stereotyped. М., 1977. 343 p.
21. Kutateladze S. S., Leontyev A. I. Heat-Mass Exchange and Friction in Turbulent Boundary Layer. М., 1972. 341 p.
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10.2.2018 Calculation of Gas Flow in High-Altitude Engine Nozzle and Experience of Using Water-Cooled Nozzle Head during Tests
10.2.2018 Calculation of Gas Flow in High-Altitude Engine Nozzle and Experience of Using Water-Cooled Nozzle Head during Tests
10.2.2018 Calculation of Gas Flow in High-Altitude Engine Nozzle and Experience of Using Water-Cooled Nozzle Head during Tests

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6.1.2018 On Building of Inertial Navigation System in the Condition of Presence of Considerable g-Load and Angular Velocity in Preferential Direction https://journal.yuzhnoye.com/content_2018_1-en/annot_6_1_2018-en/ Tue, 05 Sep 2023 06:19:12 +0000 https://journal.yuzhnoye.com/?page_id=30454
The analysis is given of measurement vector error due to incompleteness of the sensitive elements set.
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6. On Building of Inertial Navigation System in the Condition of Presence of Considerable g-Load and Angular Velocity in Preferential Direction

Organization:

Yangel Yuzhnoye State Design Office, Dnipro, Ukraine

Page: Kosm. teh. Raket. vooruž. 2018 (1); 31-38

DOI: https://doi.org/10.33136/stma2018.01.031

Language: Russian

Annotation: The paper deals with the options of solving the task of constructing an inertial navigation system in the conditions of considerable g-load and angular velocity in identified direction by method of setting the sensitive elements at some angle to the identified direction, which allows making measurements in it without loss of measurement quality in the other directions. The paper describes the technique of calculating the angle of sensitive elements setting to the identified direction. The scheme of constructing an inertial navigation system with incomplete set of sensitive elements is considered for the cases when in entire operation leg, rotation around the identified direction is executed. The analysis is given of measurement vector error due to incompleteness of the sensitive elements set.

Key words:

Bibliography:
1. Shunkov V. N. Encyclopedia of Rocket Artillery / Under the general editorship of A. E. Taras. Minsk, 2004. 544 p.
2. Shirokorad A. B. Encyclopedia of National Artillery / Under the general editorship of A. E. Taras. Minsk: Harvest, 2000. 1156 p.
3. Pugachyov V. S. et al. Rocket Control System and Flight Dynamics / V. S. Pugachyov, I. E. Kazakov, D. I. Gladkov, L. G. Yevlanov, A. F. Mishakov, V. D. Sedov. М., 1965. 610 p.
4. Branets V. N., Shmyglevsky I. P. Use of Quaternions in Solid Body Orientation Problems. М., 1973. 320 p.
5. Borisova A. Y., Smal’ A. V. Analysis of Developments of Gimballess Inertial Navigation Systems. Engineering News. N. E. Bauman MGTU. No. 05. 2017.
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6.1.2018 On Building of Inertial Navigation System in the Condition of Presence of Considerable g-Load and Angular Velocity in Preferential Direction
6.1.2018 On Building of Inertial Navigation System in the Condition of Presence of Considerable g-Load and Angular Velocity in Preferential Direction
6.1.2018 On Building of Inertial Navigation System in the Condition of Presence of Considerable g-Load and Angular Velocity in Preferential Direction
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1.1.2018 Modernization and Automation of Temperature Calculation of Measurement Errors of Climatic Chambers for Accelerated Environmental Tests https://journal.yuzhnoye.com/content_2018_1-en/annot_1_1_2018-en/ Mon, 04 Sep 2023 12:33:40 +0000 https://journal.yuzhnoye.com/?page_id=30158
Modernization and Automation of Temperature Calculation of Measurement Errors of Climatic Chambers for Accelerated Environmental Tests Authors: Noskov S. (2018) "Modernization and Automation of Temperature Calculation of Measurement Errors of Climatic Chambers for Accelerated Environmental Tests" Космическая техника. "Modernization and Automation of Temperature Calculation of Measurement Errors of Climatic Chambers for Accelerated Environmental Tests" Космическая техника. quot;Modernization and Automation of Temperature Calculation of Measurement Errors of Climatic Chambers for Accelerated Environmental Tests", Космическая техника. Modernization and Automation of Temperature Calculation of Measurement Errors of Climatic Chambers for Accelerated Environmental Tests Автори: Noskov S. Modernization and Automation of Temperature Calculation of Measurement Errors of Climatic Chambers for Accelerated Environmental Tests Автори: Noskov S.
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1. Modernization and Automation of Temperature Calculation of Measurement Errors of Climatic Chambers for Accelerated Environmental Tests

Organization:

Yangel Yuzhnoye State Design Office, Dnipro, Ukraine

Page: Kosm. teh. Raket. vooruž. 2018 (1); 3-5

DOI: https://doi.org/10.33136/stma2018.01.003

Language: Russian

Annotation: The description of the program and its work on the part of the user is given as well as a description of the software automation solution from the programmer’s side. The introduction of an automated program has significantly accelerated the process of attestation of climatic chambers.

Key words:

Bibliography:
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1.1.2018 Modernization and Automation of Temperature Calculation of Measurement Errors of Climatic Chambers for Accelerated Environmental Tests
1.1.2018 Modernization and Automation of Temperature Calculation of Measurement Errors of Climatic Chambers for Accelerated Environmental Tests
1.1.2018 Modernization and Automation of Temperature Calculation of Measurement Errors of Climatic Chambers for Accelerated Environmental Tests
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9.2.2016 Metrological Support of Kinematic Model Testing on Zero-Gravity Test Stands https://journal.yuzhnoye.com/content_2016_2-en/annot_9_2_2016-en/ Tue, 06 Jun 2023 11:56:39 +0000 https://journal.yuzhnoye.com/?page_id=28319
2016 (2); 60-64 Language: Russian Annotation: Example of the estimate of the measurement error of the linear accelerations during the free fall of the kinematic model is considered. It was concluded that experiments on error measurements can be replaced with calculations for those parameters which have sufficient initial data on metrological performance of the applied instrumentation.
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9. Metrological Support of Kinematic Model Testing on Zero-Gravity Test Stands

Organization:

Yangel Yuzhnoye State Design Office, Dnipro, Ukraine

Page: Kosm. teh. Raket. vooruž. 2016 (2); 60-64

Language: Russian

Annotation: Example of the estimate of the measurement error of the linear accelerations during the free fall of the kinematic model is considered. It was concluded that experiments on error measurements can be replaced with calculations for those parameters which have sufficient initial data on metrological performance of the applied instrumentation.

Key words:

Bibliography:
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9.2.2016 Metrological Support of Kinematic Model Testing on Zero-Gravity Test Stands
9.2.2016 Metrological Support of Kinematic Model Testing on Zero-Gravity Test Stands
9.2.2016 Metrological Support of Kinematic Model Testing on Zero-Gravity Test Stands
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22.1.2019 Calculation of Uncertainty of Represented Values of Linear Accelerations during Centrifugal Machines Certification https://journal.yuzhnoye.com/content_2019_1-en/annot_22_1_2019-en/ Wed, 24 May 2023 16:00:54 +0000 https://journal.yuzhnoye.com/?page_id=27727
Initial data used were results of observation obtained after multiple reproductions of the given values of linear acceleration as well as numerical values of errors and measurement uncertainties of measuring equipment that was used when monitoring the rotary angular velocity and radial distance considering the contribution of each measurable parameter to a certain value of linear acceleration.
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22. Calculation of Uncertainty of Represented Values of Linear Accelerations during Centrifugal Machines Certification

Organization:

Yangel Yuzhnoye State Design Office, Dnipro, Ukraine

Page: Kosm. teh. Raket. vooruž. 2019, (1); 149-153

DOI: https://doi.org/10.33136/stma2019.01.149

Language: Russian

Annotation: Applicable documents on metrological assurance regulate the estimation of measurement uncertainty. In Ukraine there is no regulative methodology for uncertainty calculation when certificating test equipment that causes the necessity of its definition. This article offers the methodology for uncertainty calculation when certificating a centrifugal machine that is used to reproduce precisely the given value of linear acceleration that permanently acts on a tested unit spinning together with a rotor. The offered methodology for uncertainty calculation is applicable to centrifugal machines, for which numerical values of reproducible linear acceleration are determined by results of calculations of the centrifugal machine’s rotor angular velocity and radial distance from rotor’s longitudinal axis to the given point of the tested unit. Initial data used were results of observation obtained after multiple reproductions of the given values of linear acceleration as well as numerical values of errors and measurement uncertainties of measuring equipment that was used when monitoring the rotary angular velocity and radial distance considering the contribution of each measurable parameter to a certain value of linear acceleration. The calculation given in the article estimates the limit of linear accelerations that can be attributed with established probability to the given value of linear acceleration reproduced when certificating the centrifugal machine. The design formulae are given to estimate the uncertainty components of the reproducible values of linear accelerations and the recommendations are given to present the uncertainty budget.

Key words: extended uncertainty, standard uncertainty, sensitivity coefficient, measurement uncertainty contribution, frequency meter

Bibliography:
1. GOST 24555. Poryadok attestatsii ispytatelnogo oborudovania. Osnovnye polozheniya. Vved. 27.01.81. M.: Gosstandart, 1982. 12 p.
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3. Guide to the Expression of Uncertainty in Measurement: ISO. Geneva, 1993. 101 p.
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22.1.2019 Calculation of Uncertainty of Represented Values of Linear Accelerations during Centrifugal Machines Certification
22.1.2019 Calculation of Uncertainty of Represented Values of Linear Accelerations during Centrifugal Machines Certification
22.1.2019 Calculation of Uncertainty of Represented Values of Linear Accelerations during Centrifugal Machines Certification

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14.2.2019 Selection of the validation algorithm for the solid rocket motor trust measurement procedure https://journal.yuzhnoye.com/content_2019_2-en/annot_14_2_2019-en/ Mon, 15 May 2023 15:46:10 +0000 https://journal.yuzhnoye.com/?page_id=27216
The composition of measurement channel, the experimental works performed at each validation algorithm are described, the calculation formulas to evaluate the limits of absolute measurement error and the obtained numerical values of the latter are presented. The comparative analysis of the results of validation procedure of solid rocket motor thrust measurement procedure obtained during metrological investigations of thrust measurement channel by end-to-end and link-by-link validation methods shows that to ensure the required measurement accuracy, the algorithms of end-to-end method is preferable, at which the lower values of reduced error can be obtained as compared with the algorithm of link-by-link validation. Key words: measurement channel , reduced error , calibration characteristic , electric signal. measurement channel , reduced error , calibration characteristic , electric signal.
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14. Selection of the validation algorithm for the solid rocket motor trust measurement procedure

Organization:

Yangel Yuzhnoye State Design Office, Dnipro, Ukraine

Page: Kosm. teh. Raket. vooruž. 2019, (2); 103-108

DOI: https://doi.org/10.33136/stma2019.02.103

Language: Russian

Annotation: The solid rocket motors thrust is measured according to the developed measurement procedure; fulfilment of its requirements guarantees obtaining the results with required accuracy parameters. Compliance of this procedure with the measurement accuracy requirements is confirmed by way of its validation that can be performed according to different algorithms. The proposed article deals with two validation algorithms of measurement procedure for solid rocket motor thrust up to 30 tf – end-to-end and link-by-link validation methods. The composition of measurement channel, the experimental works performed at each validation algorithm are described, the calculation formulas to evaluate the limits of absolute measurement error and the obtained numerical values of the latter are presented. The comparative analysis of the results of validation procedure of solid rocket motor thrust measurement procedure obtained during metrological investigations of thrust measurement channel by end-to-end and link-by-link validation methods shows that to ensure the required measurement accuracy, the algorithms of end-to-end method is preferable, at which the lower values of reduced error can be obtained as compared with the algorithm of link-by-link validation.

Key words: measurement channel, reduced error, calibration characteristic, electric signal.

Bibliography:
1. Kotsyuba A. M., Zgurya V. I. Otsinyuvannya prydantosti (validatsiya) metodik vyprobuvannya ta calibruvannya: detalizatsia vymog. Metrologia ta prylady. 2013. № 6. S. 22–24.
2. Kotsyuba A. M., Domnytska V. K., Kotsyuba L. G. Validatsia metodik calibruvannya. Standartizatsia, certifikatsia, yakist’. 2016. № 1. S. 41–45.
3. Kotsyuba A. M. Validatsia metodik calibruvannya mir fizichnykh velichin. Systemy obrobky informatsii. 2015. № 2 (127). S. 35–39.
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14.2.2019 Selection of the validation algorithm for the solid rocket motor trust measurement procedure
14.2.2019 Selection of the validation algorithm for the solid rocket motor trust measurement procedure
14.2.2019 Selection of the validation algorithm for the solid rocket motor trust measurement procedure

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