THE FUZZY SYSTEM FOR RECOGNITION AND CONTROL OF THE TWO PHASE GAS-LIQUID FLOWS

Paweł Fiderek; Radosław Wajman; Jacek Kucharski

doi:10.5604/20830157.1176563

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Published: Oct 28, 2015

DOI: https://doi.org/10.5604/20830157.1176563

DOI

https://doi.org/10.5604/20830157.1176563

Authors

Paweł Fiderek

p.fiderek@kis.p.lodz.pl

Lodz University of Technology, Institute of Applied Computer Science

Radosław Wajman

rwajman@kis.p.lodz.pl

Lodz University of Technology, Institute of Applied Computer Science

Jacek Kucharski

jkuchars@kis.p.lodz.pl

Lodz University of Technology, Institute of Applied Computer Science

Abstract

In this article the fuzzy system for the two phase gas-liquid flows recognition based on the 3D tomography data and the research facility context information is described., The system is also specialized to control the research facility in basis of the fuzzy algorithms and generated diagnostics signals.

Keywords:

fuzzy logic, electrical capacitance tomography, fuzzy inference, two phase gas-liquid flows recognition

References

Banasiak R., Wajman R., Jaworski T., Fiderek P., Fidos H., Nowakowski J., Sankowski D.: Study on two-phase flow regime visualization and identification using 3D electrical capacitance tomography and fuzzy-logic classification. International Journal of Multiphase Flow, 1–14.

Bui Dinh T., Choi T. S.: Application of image processing techniques in air/water two phase flow. Proceedings of the SPIE, Volume 3808, 1999, DOI: 10.1117/12.365888.

Fiderek P., Wajman R., Kucharski J.: Fuzzy clustering based algorithm for determination of the two-phase gas-liquid flows similarity. Przegląd Elektrotechniczny, 2/2014, 52–55.

Hou Q.-L., Xu K.-J., Fang M., Shi Y., Tao B.-B., Jiang R.-W.: Gas-liquid two-phase flow correction method for digital CMF. IEEE Transactions on Instrumentation and Measurement, Vol. 63, Issue 10, 2014.

Loser T., Wajman R., Mewes D.: Electrical capacitance tomography: image reconstruction along electrical field lines. Measurement Science and Technology, Volume 12, Number 8, 2001.

Monni G., De Salve M., Panella B.: Horizontal two-phase flow pattern recognition. Experimental Thermal and Fluid Science, 2014.

Ross T. J.: Fuzzy logic with engineering applications. 1995.

Wang P., Wang M., Lin J. S.: A novel image reconstruction algorithm for electrical capacitance tomography. Proceedings International Symposium on Computer, Consumer and Control, IS3C 2014.

Zadeh L. A.: Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic. Fuzzy Sets and Systems, 1997.

Zadeh L. A.: Information and Control. Elsevier, Volume 8, Issue 3, June 1965, 338–353.

Fiderek, P., Wajman, R., & Kucharski, J. (2015). THE FUZZY SYSTEM FOR RECOGNITION AND CONTROL OF THE TWO PHASE GAS-LIQUID FLOWS. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 5(4), 7–11. https://doi.org/10.5604/20830157.1176563

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