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Metrology and Measurement Systems

The Journal of Committee on Metrology and Scientific Instrumentation of Polish Academy of Sciences

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Volume 18, Issue 2


Application of Sensitivity Analysis to the Correction of Static Characteristics of a Phase Angle Modulator

Ryszard Sroka
  • Department of Measurement and Instrumentation, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Cracow, Poland
  • Other articles by this author:
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Published Online: 2011-06-09 | DOI: https://doi.org/10.2478/v10178-011-0007-3

Application of Sensitivity Analysis to the Correction of Static Characteristics of a Phase Angle Modulator

The paper presents definitions and relative measures of the system sensitivity and sensitivity of its errors. The model of a real system and model of an ideal measuring system were introduced. It allows to determine the errors of the system. The paper presents also how to use the error sensitivity analysis carried out on the models of the measuring system to the correction of the nonlinearity error of its static characteristic. The corrective function is determined as a relation between the input variable of the tested system and its chosen parameter. The use of the proposed method has been presented on the example of a phase angle modulator. The obtained results have been compared with the results of analytic calculations. The idea of a phase angle modulator is also presented.

Keywords: phase modulator; sensitivity analysis; static characteristics; methods of correction

  • Bryzek, J. (2004). Evolution of MEMS-IC Integration Technology. Special Issue of IEEE Measurement and Control MagazineGoogle Scholar

  • Kelly, G. (1999). Data Fusion: from Primary Metrology to Process Measurement. Proceedings of the 16th IEEE IMTC. Venice, 3, 1325-1329.Google Scholar

  • Sroka, R. (2004). Data Fusion Applied to the Minimization of Estimation Uncertainty. Metrology and Measurement Systems, 11(2), 107-122.Google Scholar

  • Sroka, R. (2004). Data Fusion Methods Based on Fuzzy Measures in Vehicle Classification Process. Proceedings of the 21th IEEE Instrumentation and Measurement Technology Conference. Italy. Como, 3, 2234-2239.Google Scholar

  • Sroka, R. (2005). Data Fusion in Phase Angle Measurement System. Proceedings of 14th IMEKO TC4 Symposium. Gdynia-Jurata, 1, 165-170.Google Scholar

  • Gajda, J., Sroka, R., Żegleń, T. (2007). Accuracy analysis of WIM systems calibrated using pre-weighed vehicles method. Metrology and Measurement Systems, 14(4), 517-527.Google Scholar

  • Burnos, P., Gajda, J., Piwowar, P., Sroka, R., Stencel, M., Żegleń, T. (2007). Accurate Weighing of Moving Vehicles. Metrology and Measurement Systems, 14(4), 508-516.Google Scholar

  • Gajda, J., Piwowar, P. (2009). Identification of the human respiratory system during experiment with negative pressure impulse excitation. Metrology and Measurement Systems, 16(4), 569-583.Google Scholar

  • Katulski, R.J., Namiesnik, J., Stefanski, J., Sadowski, J., Wardencki, W., Szymanska, K. (2009). Mobile monitoring system for gaseous air pollution. Metrology and Measurement Systems, 16(4), 677-683.Google Scholar

  • Janiczek, J. (2009). Multiparameter approximation of transducer transfer function by kriging method. Metrology and Measurement Systems, 16(3), 479-491.Google Scholar

  • Frączek, E., Mroczka, J. (2009). An accuracy analysis of small angle measurement using the Optical Vortex Interferometer. Metrology and Measurement Systems, 16(2), 249-258.Google Scholar

  • Saltelli, A., Chan, K., Scott, E.M. (2000). Sensitivity Analysis. John Willey & Sons LTD. New York.Google Scholar

  • Szyper, M. (1998). Lipschitz's Measures of Measuring Systems Sensitivity to Variability of Parameters. SAMS, 30, 45-55.Google Scholar

  • Szyper, M. (1995). Linear Parametric Modulation of a Phase Angle with Wide Range Deviation in Measurement Systems. Measurement. Elsevier Science, 16, 31-35.Google Scholar

  • Szyper, M., Zielinski, T.P., Sroka, R. (1992). Spectral Analysis of Nonstationary Signals with Wide Phase Modulation. IEEE Trans. on Instrumentation and Measurement, 41(6), 919-920.Google Scholar

  • Forrester, J.W. (2001). An Introduction to Sensitivity Analysis. Massachusetts Institute of Technology, Educational Materials.Google Scholar

  • Engelbreck, A., Cloete, I., Żurada, J. (1995) Determining the Significance of Input Parameters Using Sensitivity Analysis. From Natural to Artificial Neural Computations. IWANN. Malaga, 382-388.Google Scholar

  • Cukier, R.I., Fortuin, C.M., Schuler, K.E., Petschek, A.G., Schaibly, J.H. (1973). Study of the Sensitivity of Coupled Reaction Systems to Uncertainties in Rate Coefficients. I Theory. J. Chem. Phys., 59, 3873-3978.Google Scholar

  • Prokott, E. (1978). Modulation und Demodulation. Dr A. Huthig Verlag Heidelberg Meinz Basel.Google Scholar

About the article

Published Online: 2011-06-09

Published in Print: 2011-01-01

Citation Information: Metrology and Measurement Systems, Volume 18, Issue 2, Pages 249–260, ISSN (Print) 0860-8229, DOI: https://doi.org/10.2478/v10178-011-0007-3.

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