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Relevant bibliographies by topics / Measurement errors

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Academic literature on the topic 'Measurement errors'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 December 2024

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Journal articles on the topic "Measurement errors"

1

Qin, Lihou, Qijing Liu, Maozhen Zhang, and Sajjad Saeed. "Effect of measurement errors on the estimation of tree biomass." Canadian Journal of Forest Research 49, no. 11 (November 2019): 1371–78. http://dx.doi.org/10.1139/cjfr-2019-0034.

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Diameter at breast height (DBH) is commonly used to predict the aboveground biomass (AGB) of forests and to derive biomass models for single trees; however, there is evidence that measurement errors of DBH have not been previously considered. In this study, two types of measurement errors were evaluated: errors in national forest inventory data (NFID) and errors in a calibration data set (CDS). Using Monte Carlo simulations, the uncertainties arising from these two measurement errors were quantified. In addition, the effects of measurement errors on estimates under different error assumptions were analyzed to determine how these two uncertainties change with increasing errors. The results show that CDS measurement error contributes more to the total uncertainty, whereas NFID measurement error has a negligible effect on estimating the biomass of regional forests. The uncertainties of both types of measurement error increased with increasing error assumptions; however, the uncertainties caused by CDS measurement error were noticeably larger than those caused by NFID measurement error. Thus, the greatest potential for reducing uncertainties caused by measurement error lies in increasing the accuracy of DBH measurements in CDS.

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Iskenderzade, E. B., E. D. Suleymanova, and H. S. Veliyev. "THE METHOD OF INDIRECT TWO-PART MEASUREMENTS FOR THE CONTROL OF PRODUCTION INDICATORS." Kontrol'. Diagnostika, no. 295 (January 2023): 30–32. http://dx.doi.org/10.14489/td.2023.01.pp.030-032.

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A method of indirect two-part measurements of production indicators, including two independent measurements, has been developed. An elementary example of such measurements is the measurement of rectangular areas, determination of the specific gravity of the material, etc. According to the proposed method, minimization of the total random error of indirect two-part measurement can be carried out in two cases: 1) if it is known about the equality of the total error in both measurements, but the sum of systematic errors is limited from above, then it is possible to solve the problem of determining systematic errors separately, which minimizes the total random error of a two-part indirect measurement; 2) if it is known about the equality of systematic errors in both measurements, but the sum of systematic errors is limited from above, then it is possible to solve the problem of determining the total errors separately, which minimizes the total random error of an indirect two-part measurement.

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Jacob, Vinodkumar, M. Bhasi, and R. Gopikakumari. "Impact of Human Factors on Measurement Errors." International Journal of Measurement Technologies and Instrumentation Engineering 1, no. 4 (October 2011): 28–44. http://dx.doi.org/10.4018/ijmtie.2011100103.

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Measurement is the act or the result, of a quantitative comparison between a given quantity and a quantity of the same kind chosen as a unit. It is for observing and testing scientific and technological investigations and generally agreed that all measurements contain errors. In a measuring system where both a measuring instrument and a human being taking the measurement using a preset process, the measurement error could be due to the instrument, the process or human error. This study is devoted to understanding the human errors in measurement. Work and human involvement related factors that could affect measurement errors have been identified. An experimental study has been conducted using different subjects where the factors were changed one at a time and the measurements made by them recorded. Errors in measurement were then calculated and the data so obtained was subject to statistical analysis to draw conclusions regarding the influence of different factors on human errors in measurement. The findings are presented in the paper.

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Rycroft, M. J. "Measurement errors." Journal of Atmospheric and Terrestrial Physics 57, no. 13 (November 1995): 1673. http://dx.doi.org/10.1016/0021-9169(95)90045-4.

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Wing, Michael G., and Jereme Frank. "An Examination of Five Identical Mapping-Grade Global Positioning System Receivers in Two Forest Settings." Western Journal of Applied Forestry 26, no. 3 (July 1, 2011): 119–25. http://dx.doi.org/10.1093/wjaf/26.3.119.

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Abstract We collected measurements using five identical high-quality mapping-grade GPS receivers that were configured the same and collected data simultaneously in two distinctly different settings within a forest. Our primary objective was to determine whether measurement accuracies were different among the mapping-grade GPS receivers. A secondary objective was to determine whether measurement accuracies were different depending on whether receivers established their locations by taking a single 1-second measurement or by averaging 30 or 60 measurements. In the open-sky setting, where receivers had few obstructions overhead, we found that all five receivers recorded measurements with similar positional accuracies. Errors were lower when measurements were differentially corrected (postprocessed). We found an average error of 1.6 m for unprocessed data and an average error of 0.2 m for postprocessed data. Our results indicate that in open-sky conditions, all five receivers performed similarly when measurements were postprocessed. In addition, there was no significant difference in accuracy whether 1, 30, or 60 points were averaged, regardless of whether data were postprocessed. In the young-forest test course, examination of errors between receivers revealed that one receiver had significantly different errors compared with other receivers, which was likely the result of environmental influences on satellite signal strength and availability. We also found that measurement errors for all five receivers were significantly lower when measurements were postprocessed. On average, measurement errors were 5.9 m for unprocessed data and 1.4 m for postprocessed data. In analyzing individual receiver errors, no receiver had significantly different measurement errors whether 1, 30, or 60 measurements were recorded.

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Wolf, Matthew B. "Hemoglobin-Dilution Method: Effect of Measurement Errors on Vascular Volume Estimation." Computational and Mathematical Methods in Medicine 2017 (2017): 1–5. http://dx.doi.org/10.1155/2017/3420590.

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The hemoglobin-dilution method (HDM) has been used to estimate changes in vascular volumes in patients because direct measurements with radioisotopes are time-consuming and not practical in many facilities. The HDM requires an assumption of initial blood volume, repeated measurements of plasma hemoglobin concentration, and the calculation of the ratio of hemoglobin measurements. The statistics of these ratio distributions resulting from measurement error are ill-defined even when the errors are normally distributed. This study uses a “Monte Carlo” approach to determine the distribution of these errors. The finding was that these errors could be closely approximated with a log-normal distribution that can be parameterized by a geometric mean (X) and a dispersion factor (S). When the ratio of successive Hb concentrations is used to estimate blood volume, normally distributed hemoglobin measurement errors tend to produce exponentially higher values ofXandSas the SD of the measurement error increases. The longer tail of the distribution to the right could produce much greater overestimations than would be expected from the SD values of the measurement error; however, it was found that averaging duplicate and triplicate hemoglobin measurements on a blood sample greatly improved the accuracy.

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Huang, Yubin, Xiong Zhang, Kaisi You, Jihong Chen, Hao Zhou, and Hua Xiang. "Drifted Uncertainty Evaluation of a Compact Machine Tool Spindle Error Measurement System." Machines 12, no. 10 (October 1, 2024): 695. http://dx.doi.org/10.3390/machines12100695.

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The accurate measurement of spindle errors, especially quasi-static errors, is one of the key issues for the analysis and compensation of machine tool thermal errors in machining accuracy. To quantitatively analyze the influence of the measurement system’s own drift on the measurement results, a drifted uncertainty evaluation method of the precision instrument considering the time drift coefficient is proposed. This study also produced a high-precision compact spindle error measurement device (with a displacement measurement error of less than ±1.33 μm and an angular measurement error of less than ±1.42 arcsecs) as the research object to verify the proposed drift uncertainty evaluation method. A method for evaluating the drift uncertainty of the measurement system is proposed to quantitatively evaluate the system error and drift uncertainty of the measurement device. Experiments show that the drift uncertainty evaluation method proposed in this paper is more suitable for evaluating the uncertainty changes in measurement instruments during long-term measurements compared to traditional methods.

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Singh, Ravi Shankar, Helko van den Brom, Stanislav Babaev, Sjef Cobben, and Vladimir Ćuk. "Estimation of Impedance and Susceptance Parameters of a 3-Phase Cable System Using PMU Data." Energies 12, no. 23 (November 30, 2019): 4573. http://dx.doi.org/10.3390/en12234573.

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This paper proposes a new regression-based method to estimate resistance, reactance, and susceptance parameters of a 3-phase cable segment using phasor measurement unit (PMU) data. The novelty of this method is that it gives accurate parameter estimates in the presence of unknown bias errors in the measurements. Bias errors are fixed errors present in the measurement equipment and have been neglected in previous such attempts of estimating parameters of a 3-phase line or cable segment. In power system networks, the sensors used for current and voltage measurements have inherent magnitude and phase errors whose measurements need to be corrected using calibrated correction coefficients. Neglecting or using wrong error correction coefficients causes fixed bias errors in the measured current and voltage signals. Measured current and voltage signals at different time instances are the variables in the regression model used to estimate the cable parameters. Thus, the bias errors in the sensors become fixed errors in the variables. This error in variables leads to inaccuracy in the estimated parameters. To avoid this, the proposed method uses a new regression model using extra parameters which facilitate the modeling of present but unknown bias errors in the measurement system. These added parameters account for the errors present in the non- or wrongly calibrated sensors. Apart from the measurement bias, random measurement errors also contribute to the total uncertainty of the estimated parameters. This paper also presents and compares methods to estimate the total uncertainty in the estimated parameters caused by the bias and random errors present in the measurement system. Results from simulation-based and laboratory experiments are presented to show the efficacy of the proposed method. A discussion about analyzing the obtained results is also presented.

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ISKANDAROV, NABI, ELMIN BAGISHOV, and ELCHIN ISGANDARZADA. "EFFECT OF SURFACE SENSOR AND EXTERNAL REFERENCE NODE ON PROCESS TEMPERATURE MEASUREMENT ACCURACY." Computational Nanotechnology 9, no. 1 (March 28, 2022): 145–53. http://dx.doi.org/10.33693/2313-223x-2022-9-1-145-153.

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As we know, one of the most important and important issues in the implementation of technological processes is the implementation of accurate and correct temperature measurements. During the research, attention was paid to the measurement errors in temperature measurements of technological processes using thermocouples and methods of minimizing those errors. In addition, errors in thermocouple temperature measurements were briefly discussed, and for temperatures limited to a certain range, the T-type thermocouple achieved several times less error than the allowable error specified in the normative documents. It is known that when describing thermocouples in the technical literature, first of all, industrial devices with high temperature coefficient and medium class accuracy are considered. Also, as we know, in domestic applications, the temperature difference between the measurement and the reference node varies mainly within the minimum threshold range. Therefore, if the main source of error is the internal reference temperature compensation in the measuring instrument, it is almost impossible to determine the proportion of errors due to the thermocouple itself. The study found that the measurement error can be significantly reduced when determining the temperature of technological processes using an external reference node. At the same time, since the special application of temperature measurements of technological processes covers the measurement of indoor and outdoor temperatures, the errors due to the effect of radiation on the sensor from the surrounding surfaces are many times higher than the allowable error. For this reason, tools have been proposed to assess the radiation effects on typical thermocouples, along with proposals for modification of thermocouple sensors to reduce the potential radiation exposure and thus increase measurement accuracy.

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Zhukov, Leonid, and Dmytro Petrenko. "INFLUENCE OF OBJECT AND PYROMETRIC SYSTEM OPTICAL CHARACTERISTICS ON ERRORS OF INDIRECT EMISSIVITY AND TEMPERATURE MEASUREMENTS." System Research in Energy 2023, no. 1 (April 7, 2023): 55–71. http://dx.doi.org/10.15407/srenergy2023.01.055.

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The present article aims to study the influence of the optical characteristics of a thermometered object and a pyrometric system on measurement errors of emissivity and temperature. The analysis and classification of factors that determine methodical and instrumental measurement errors have been performed. The expressions which determine the complex multifactorial influence of object and system optical characteristics on methodical and instrumental errors have been derived. On the base of obtained expressions, the influence of the optical characteristics of a thermometered object and a pyrometric system on these errors is analyzed. The dominant influence of the optical characteristics of a thermometered object on methodical errors of emissivity and temperature measurements has been established. The influence of a system`s optical characteristics on methodical errors of emissivity and temperature measurements has been studied under conditions of wide and real thermometered object characteristics ranges of changes. As a result, a significant reduction of methodical errors was achieved by optimizing the optical characteristics of the system. Under conditions of fixed object characteristics and operating wavelengths of a system, the influence regularities of primary pyrometric information errors (operating wavelengths setting and one-color radiation temperatures measurements) on the instrumental errors have been obtained. A significant influence of the signs and modules of primary pyrometric information errors on them has been established. Instrumental errors are minimal in the case of identical signs of primary pyrometric information errors for all operating waves, and maximum in the case of different signs for the middle and boundary waves. With the same signs and modules of one-color radiation temperatures measurement errors, the instrumental error of temperature measurements does not exceed their modules. Keywords: temperature, spectral distribution of emissivity, two-color compensative thermometry, linear method, methodical and instrumental components of measurement error.

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Dissertations / Theses on the topic "Measurement errors"

1

Appukuttan, Ajith. "Probe measurement errors in turbomachinery flows." Thesis, University of Cambridge, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.613303.

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Dugay, Murielle. "Errors in skin temperature measurements." Thesis, University of North Texas, 2008. https://digital.library.unt.edu/ark:/67531/metadc9786/.

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Numerical simulation is used to investigate the accuracy of a direct-contact device for measuring skin-surface temperature. A variation of thermal conductivity of the foam has greater effect on the error rather than a variation of the blood perfusion rate. For a thermal conductivity of zero, an error of 1.5 oC in temperature was identified. For foam pad conductivities of 0.03 and 0.06 W/m-oC, the errors are 0.5 and 0.15 oC. For the transient study, with k=0 W/m-oC, it takes 4,900 seconds for the temperature to reach steady state compared with k=0.03 W/m-oC and k=0.06 W/m-oC where it takes 3,000 seconds. The configuration without the foam and in presence of an air gap between the skin surface and the sensor gives the most uniform temperature profile.

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Kahiri, James Mwangi K. "Impact of measurement errors on categorical data." Thesis, University of Southampton, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318197.

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Mallick, Ranjeeta Carleton University Dissertation Mathematics and Statistics. "Accounting for measurement errors in epidemiological studies." Ottawa, 1996.

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Gunby, James Alexander. "Measurement errors in case-control and related studies." Thesis, University of Oxford, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239324.

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Wingard, Christopher. "Exact filtering of measurement errors in dynamical systems." abstract and full text PDF (UNR users only), 2009. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1464466.

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Kondlo, Lwando Orbet. "Estimation of Pareto distribution functions from samples contaminated by measurement errors." Thesis, University of the Western Cape, 2010. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_6141_1297831463.

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The intention is to draw more specific connections between certain deconvolution methods and also to demonstrate the application of the statistical theory of estimation in the presence of measurement error. A parametric methodology for deconvolution when the underlying distribution is of the Pareto form is developed. Maximum likelihood estimation (MLE) of the parameters of the convolved distributions is considered. Standard errors of the estimated parameters are calculated from the inverse Fisher&rsquo
s information matrix and a jackknife method. Probability-probability (P-P) plots and Kolmogorov-Smirnov (K-S) goodnessof- fit tests are used to evaluate the fit of the posited distribution. A bootstrapping method is used to calculate the critical values of the K-S test statistic, which are not available.

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Varughese, Suma. "A Study On Effects Of Phase - Amplitude Errors In Planar Near Field Measurement Facility." Thesis, Indian Institute of Science, 2000. https://etd.iisc.ac.in/handle/2005/231.

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Antenna is an indispensable part of a radar or free space communication system. Antenna requires different stringent specifications for different applications. Designed and fabricated for an intended application, antenna or antenna array has to be evaluated for its far-field characteristics in real free space environment which requires setting up of far-field test site. Maintenance of the site to keep the stray reflections levels low, the cost of the real estate are some of the disadvantages. Nearfield measurements are compact and can be used to test the antennas by exploiting the relationship between near-field and far-field. It is shown that the far-field patterns of an antenna can be sufficiently accurately predicted provided the near-field measurements are accurate. Due to limitation in the near-field measurement systems, errors creep in corrupting the nearfield-measured data thus making error in prediction of the far field. All these errors ultimately corrupt the phase and amplitude data. In this thesis, one such near-field measurement facility, the Planar Near Field Measurement facility is discussed. The limitations of the facility and the errors that occur due to their limitations are discussed. Various errors that occur in measurements ultimately corrupt the near-field phase and amplitude. Investigations carried out aim at a detailed study of these phase and amplitude errors and their effect on the far-field patterns of the antenna. Depending on the source of error, the errors are classified as spike, pulse and random errors. The location of occurrence of these types of errors in the measurement plane, their effects on the far-field of the antenna is studied both for phase and amplitude errors. The studies conducted for various phase and amplitude errors show that the near-field phase and amplitude data are more tolerant to random errors as the far-field patterns do not get affected even for low sidelobe cases. The spike errors, though occur as a wedge at a single point in the measurement plane, have more pronounced effect on the far-field patterns. Lower the taper value of the antenna, more pronounced is the error. It is also noticed that the far-field pattern gets affected only in the plane where the error has occurred and has no effect in the orthogonal plane. Pulse type of errors which occur even for a short length in the measurement affect both the principle plane far-field patterns. This study can be used extensively as a tool to determine to the level to which various error such as mechanical, RF etc need to be controlled to make useful and correct pattern predictions on a particular facility. Thereby, the study can be used as a tool to economise the budget of the facility wherein the parameters required for building the facility need not be over specified beyond the requirement. In general, though this is a limited study, it is certainly a trendsetter in this direction.

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Varughese, Suma. "A Study On Effects Of Phase - Amplitude Errors In Planar Near Field Measurement Facility." Thesis, Indian Institute of Science, 2000. http://hdl.handle.net/2005/231.

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Antenna is an indispensable part of a radar or free space communication system. Antenna requires different stringent specifications for different applications. Designed and fabricated for an intended application, antenna or antenna array has to be evaluated for its far-field characteristics in real free space environment which requires setting up of far-field test site. Maintenance of the site to keep the stray reflections levels low, the cost of the real estate are some of the disadvantages. Nearfield measurements are compact and can be used to test the antennas by exploiting the relationship between near-field and far-field. It is shown that the far-field patterns of an antenna can be sufficiently accurately predicted provided the near-field measurements are accurate. Due to limitation in the near-field measurement systems, errors creep in corrupting the nearfield-measured data thus making error in prediction of the far field. All these errors ultimately corrupt the phase and amplitude data. In this thesis, one such near-field measurement facility, the Planar Near Field Measurement facility is discussed. The limitations of the facility and the errors that occur due to their limitations are discussed. Various errors that occur in measurements ultimately corrupt the near-field phase and amplitude. Investigations carried out aim at a detailed study of these phase and amplitude errors and their effect on the far-field patterns of the antenna. Depending on the source of error, the errors are classified as spike, pulse and random errors. The location of occurrence of these types of errors in the measurement plane, their effects on the far-field of the antenna is studied both for phase and amplitude errors. The studies conducted for various phase and amplitude errors show that the near-field phase and amplitude data are more tolerant to random errors as the far-field patterns do not get affected even for low sidelobe cases. The spike errors, though occur as a wedge at a single point in the measurement plane, have more pronounced effect on the far-field patterns. Lower the taper value of the antenna, more pronounced is the error. It is also noticed that the far-field pattern gets affected only in the plane where the error has occurred and has no effect in the orthogonal plane. Pulse type of errors which occur even for a short length in the measurement affect both the principle plane far-field patterns. This study can be used extensively as a tool to determine to the level to which various error such as mechanical, RF etc need to be controlled to make useful and correct pattern predictions on a particular facility. Thereby, the study can be used as a tool to economise the budget of the facility wherein the parameters required for building the facility need not be over specified beyond the requirement. In general, though this is a limited study, it is certainly a trendsetter in this direction.

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10

Tataryn, Douglas Joseph 1960. "Standard errors of measurement, confidence intervals, and the distribution of error for the observed score curve." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/277223.

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This paper reviews the basic literature on the suggested applications of the standard error of measurement (SEM), and points out that there are discrepancies in its suggested application. In the process of determining the efficacy and appropriateness of each of the proposals, a formula to determine the distribution of error for the observed score curve is derived. The final recommendation, which is congruent with Cronbach, Gleser, Nanda & Rajaratnam's (1972) recommendations, is to not use the SEM to create confidence intervals around the observed score: The predicted true score and the standard error of the prediction are better suited (non-biased and more efficient) for the task of estimating a confidence interval which will contain an individual's true score. Finally, the distribution of future observed scores around the expected true score is derived.

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Books on the topic "Measurement errors"

1

Rabinovich, Semyon G. Measurement Errors and Uncertainties. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4757-3256-6.

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Biemer, Paul P., Robert M. Groves, Lars E. Lyberg, Nancy A. Mathiowetz, and Seymour Sudman, eds. Measurement Errors in Surveys. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2004. http://dx.doi.org/10.1002/9781118150382.

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P, Biemer Paul, and International Conference on Measurement Errors in Surveys (1990 : Tucson, Ariz.), eds. Measurement errors in surveys. New York: Wiley, 1991.

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P, Biemer Paul, ed. Measurement errors in surveys. Hoboken, N.J: Wiley-Interscience, 2004.

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Small, I. Productivity growth and measurement errors. London: London University, Queen Mary and Westfield College, Economics Department, 1992.

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Rabinovich, S. G. Measurement errors: Theory and practice. New York: American Institute of Physics, 1995.

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Almeida, Heitor. Measurement errors in investment equations. Cambridge, MA: National Bureau of Economic Research, 2010.

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Neuilly, Michèle. Modelling and estimation of measurement errors. Paris: Technique & Documentation, 1999.

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9

Rabinovich, S. G. Measurement errors and uncertainties: Theory and practice. 2nd ed. New York: AIP Press, 2000.

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Rabinovich, S. G. Measurement errors and uncertainties: Theory and practice. 3rd ed. New York: AIP Press, 2005.

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Book chapters on the topic "Measurement errors"

1

Särndal, Carl-Erik, Bengt Swensson, and Jan Wretman. "Measurement Errors." In Model Assisted Survey Sampling, 601–36. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-4378-6_16.

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Knott, Eugene F. "Measurement Errors." In Radar Cross Section Measurements, 120–62. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4684-9904-9_4.

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Barry, B. Austin. "Measurement Errors." In The Surveying Handbook, 40–72. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4757-1188-2_2.

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Christodoulides, Costas, and George Christodoulides. "Measurement Errors." In Analysis and Presentation of Experimental Results, 39–56. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53345-2_2.

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Fridman, A. E. "Measurement Errors." In The Quality of Measurements, 23–54. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1478-0_2.

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Barry, B. Austin. "Measurement Errors." In The Surveying Handbook, 20–41. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2067-2_3.

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Mehtätalo, Lauri, and Juha Lappi. "Measurement Errors." In Biometry for Forestry and Environmental Data, 381–90. Boca Raton, FL : CRC Press, 2020. | Series: Chapman & Hall/CRC applied environmental statistics: Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9780429173462-13.

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Hoffmann, John P. "Measurement Errors." In Linear Regression Models, 275–92. Boca Raton: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003162230-13.

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Eversberg, Thomas, and Klaus Vollmann. "Measurement Errors Measurement errors and Statistics Statistics." In Spectroscopic Instrumentation, 465–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44535-8_13.

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Venkateshan, S. P. "Measurements and Errors in Measurement." In Mechanical Measurements, 3–45. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781119115571.ch1.

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Conference papers on the topic "Measurement errors"

1

Usami, Shogo. "Construction of Quantum Error Correcting Code for Specific Position Errors." In QUANTUM COMMUNICATION, MEASUREMENT AND COMPUTING. AIP, 2004. http://dx.doi.org/10.1063/1.1834413.

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Chaojun, Gu, and Panida Jirutitijaroen. "Topology error processing based on forecast measurement errors." In 2014 Power Systems Computation Conference (PSCC). IEEE, 2014. http://dx.doi.org/10.1109/pscc.2014.7038475.

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Bhatia, Arti, N. S. Mangat, and Tom Morrison. "Estimation of Measurement Errors." In 1998 2nd International Pipeline Conference. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/ipc1998-2038.

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A check of the measurement ability of the tools used to assess the corrosion on a pipeline is an important aspect of a maintenance program. In this paper a statistical method of determining the errors of measurement instruments is examined.

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Wang, Shih-Ming, Han-Jen Yu, and Hung-Wei Liao. "An Efficient Volumetric-Error Measurement Method for Five-Axis Machine Tools." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-83000.

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Accurate measurement of volumetric errors plays an important role for error compensation for multi-axis machines. The error measurements for volumetric errors of five-axis machines are usually very complex and costly than that for three-axis machines. In this study, a direct and simple measurement method using telescoping ball-bar system for volumetric errors for different types of five-axis machines was developed. The method using two-step measurement methodology and incorporating with derived error models, can quickly determine the five degrees-of-freedom (DOF) volumetric errors of five-axis machine tools. Comparing to most of the current used measurement methods, the proposed method provides the advantages of low cost, high efficiency, easy setup, and high accuracy.

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Kunitz, Logan. "Avoiding Measurement Errors from Manipulating Data in Software." In NCSL International Workshop & Symposium. NCSL International, 2014. http://dx.doi.org/10.51843/wsproceedings.2014.42.

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In the age of digital technology, the act of calibrating a device nearly always requires the conversion of an analog signal into a digital representation that will be used and manipulated in software as a part of the calibration process. This conversion from analog to digital and the subsequent processing that occurs in the digital domain can introduce additional errors in the measurement. If the data types and methodologies are not properly controlled, the magnitude of these errors can add significant uncertainty to the calibration. The objective of this paper is to explore the various ways that software can introduce errors and uncertainty into measurements, with the purpose of raising awareness for developers about the choices that can be made when manipulating measurement data in software. This paper will investigate several sources of software error that apply across different programming environments, including excel, text-based, and graphical programming environments. The sources of error that will be discussed will include the following: •Rounding errors associated with datatype conversions and data truncation. •Numerical errors are related to the limitations of computers in representing numeric values. •Computational errors that can be introduced by common math functions and methodologies.

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Wimmer, G., and V. Witkovsky. "Demodulation and uncertainty evaluation of quadrature interferometer signals when the errors are autoregressive." In 2017 11th International Conference on Measurement. IEEE, 2017. http://dx.doi.org/10.23919/measurement.2017.7983527.

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Alrizah, Mshabab, Sencun Zhu, Xinyu Xing, and Gang Wang. "Errors, Misunderstandings, and Attacks." In IMC '19: ACM Internet Measurement Conference. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3355369.3355588.

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Akerman, Nitzan, Shlomi Kotler, Yinnon Glickman, and Roee Ozeri. "Quantum Correction of Photon-scattering Errors." In Quantum Information and Measurement. Washington, D.C.: OSA, 2012. http://dx.doi.org/10.1364/qim.2012.qw2a.5.

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Pop, Septimiu, Dan Pitica, and Ioan Ciascai. "Sensor measurement errors detection methods." In 2011 34th International Spring Seminar on Electronics Technology (ISSE). IEEE, 2011. http://dx.doi.org/10.1109/isse.2011.6053898.

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Smith, Nigel P., Gary R. Goelzer, Michael Hanna, and Patrick M. Troccolo. "Minimizing optical overlay measurement errors." In SPIE'S 1993 Symposium on Microlithography, edited by Michael T. Postek. SPIE, 1993. http://dx.doi.org/10.1117/12.148972.

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Reports on the topic "Measurement errors"

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Haines, Tomar. PR-218-103608-R01 ILI Tool Calibration based on In-ditch Measurement with Related Uncertainty. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2013. http://dx.doi.org/10.55274/r0010825.

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Keifner and Associates was awarded task 2 and 3 of the project EC-4-2, "ILI Tool Calibration based on In-ditch Measurement with Related Uncertainty". The project comprised of three tasks as follows: Develop a process for either confirming adequacy of vendor claimed random error component, or recalibrating the random error component of ILI measurement uncertainty. Task 1 was completed by ApplusRTD and a report was generated under a separate contract no: PR-366-103606. Develop a process for examining errors, and determine methods to correct for these errors, recognizing that lack of knowledge about the accuracy of in-ditch measurement will limit error correction. Develop comments and recommendations on the number of confirmation measurements required to provide a statistically defensible basis for adjusting vendor claimed tool error. Kiefner reported on these latter two tasks as its part of the work for this project.

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George and Hawley. PR-015-09605-R01 Extended Low Flow Range Metering. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), December 2010. http://dx.doi.org/10.55274/r0010728.

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Natural gas meters are often used to measure flows below their minimum design flow rate. This can occur because of inaccurate flow projections, widely varying flow rates in the line, a lack of personnel available to change orifice plates, and other causes. The use of meters outside their design ranges can result in significant measurement errors. The objectives of this project were to examine parameters that contribute to measurement error at flow rates below 10% of a meters capacity, determine the expected range of error at these flow rates, and establish methods to reduce measurement error in this range. The project began with a literature search of prior studies of orifice, turbine, and ultrasonic meters for background information on their performance in low flows. Two conditions affecting multiple meter types were identified for study. First, temperature measurement errors in low flows can influence the accuracy of all three meter types, though the effect of a given temperature error can differ among the meter types. Second, thermally stratified flows at low flow rates are known to cause measurement errors in ultrasonic meters that cannot compensate for the resulting flow profiles, and the literature suggested that these flows could also affect orifice plates and turbine meters. Several possible ways to improve temperature measurements in low flows were also identified for further study. Next, an analytical study focused on potential errors due to inaccurate temperature measurements. Numerical tools were used to model a pipeline with different thermowell and RTD geometries. The goals were to estimate temperature measurement errors under different low-flow conditions, and to identify approaches to minimize temperature and flow rate errors. Thermal conduction from the pipe wall to the thermowell caused the largest predicted bias in measured temperature, while stratified temperatures in the flow caused relatively little temperature bias. Thermally isolating the thermowell from the pipe wall, or using a bare RTD, can minimize temperature bias, but are not usually practical approaches. Insulation of the meter run and the use of a finned thermowell design were practical methods predicted to potentially improve measurement accuracy, and were chosen for testing.

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Almeida, Heitor, Murillo Campello, and Antonio Galvao. Measurement Errors in Investment Equations. Cambridge, MA: National Bureau of Economic Research, April 2010. http://dx.doi.org/10.3386/w15951.

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Lichtenberg, Frank, and Zvi Griliches. Errors of Measurement in Output Deflators. Cambridge, MA: National Bureau of Economic Research, August 1986. http://dx.doi.org/10.3386/w2000.

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George and Delgado. PR-015-06601-R01 Evaluation of Clamp-on Ultrasonic Meters as Field-Portable Diagnostic Tool. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), December 2007. http://dx.doi.org/10.55274/r0010702.

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This study has continued work begun in 2005 to evaluate the use of commercially-available clamp-on ultrasonic meters (USMs) in diagnosing natural gas flow conditions that can produce measurement errors in traditional natural gas meters. In this project, a prototype multi-array clamp-on USM and a commercially available two-path clamp-on USM were mounted on a conventional orifice meter run with a 19-tube bundle flow straighter subjected to well-conditioned flow and a series of adverse flow conditions. Measurements from the clamp-on meters were compared to measurements from the orifice meter under adverse conditions. The objectives of the study were to determine the ability of the clamp-on meters to diagnose abnormal flow conditions that can produce measurement errors in conventional orifice meter configurations, identify the flow profiles within the meter run, and quantify the orifice meter measurement error.

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Xie, Gao, and Olsen. PR-179-13601-R01 CFD Analysis of the Heat Transfer Characteristics and the Effect of Thermowells. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), October 2013. http://dx.doi.org/10.55274/r0010818.

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Thermowells are widely utilized for temperature measurement in metering stations on natural gas pipelines. The use of thermowells induces errors in the measurements of gas temperature due to the heat transfer processes involved in the thermowell installations, which results in errors in the flow rate calculations. In order to study the temperature measurement accuracy of using thermowells, a three-dimensional computational fluid dynamics study is performed and an in-depth investigation of the effect of the multiple variables on gas temperature measurement is carried out. The parameters under investigation include pipe diameter, thermowell type, thermal conditions at the pipe wall surface, and gas velocity. The study provides information on the sources of error and guidance to users on thermowell type selection and the pipe-thermowell installation, in order to improve the reliability and accuracy of gas temperature measurement.

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Keener, James. Potential Measurement Errors Induced by Atmospheric Refraction. Fort Belvoir, VA: Defense Technical Information Center, March 1997. http://dx.doi.org/10.21236/ada341850.

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Castleton, R. Errors arising from misalignment of the measurement location. Office of Scientific and Technical Information (OSTI), May 1993. http://dx.doi.org/10.2172/10166284.

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Gerhart, Grant R., and Roy M. Matchko. Polarization Measurement Errors Due to Spatial and Temporal Misregistration. Fort Belvoir, VA: Defense Technical Information Center, August 2003. http://dx.doi.org/10.21236/ada457980.

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Taylor, James L. How to Use Calibration Errors to Determine Measurement Uncertainty. Fort Belvoir, VA: Defense Technical Information Center, August 2012. http://dx.doi.org/10.21236/ada566359.

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