IDENTYFIKACJA PRZEPŁYWU DWUFAZOWEGO GAZ-CIECZ OPARTA NA OCENIE ROZMYTEJ OBRAZÓW TOMOGRAFICZNYCH 3D

Tomasz Jaworski; Paweł  Fiderek; Radosław  Wajman; Robert Banasiak

doi:10.35784/iapgos.1462

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Published: Jul 24, 2013

DOI: https://doi.org/10.35784/iapgos.1462

Issue Vol. 3 No. 3 (2013)

Articles

AN APPLICATION OF IRIDM IN THE DECISION MAKING PROCESS ON FUEL CONVERSION OF THE MARIA REACTOR
Mieczysław Józef Borysiewicz, Karol Kowal, Piotr Andrzej Prusiński, Marcin Dąbrowski

3-6
CALCULATION OF THE IMPROPER INTEGRALS FOR FOURIER BOUNDARY ELEMENT METHOD
Edyta Łukasik, Beata Pańczyk, Jan Sikora

7-10
THE INTELLIGENT SYSTEM FOR AUTOMOTIVE FUELS QUALITY DEFINITION
Volodymyr Drevetskiy , Marko Klepach

11-13
COMPARISON OF THE SELECTED MOTION INTERPOLATION METHODS
Maria Skublewska-Paszkowska, Jakub Smołka

14-17
SMART GRIDS – GENERAL REVIEW OF SYNCHRONIZATION TECHNIQUES
Piotr Lipnicki

18-23
GPS MONITORING
Marcin Bigoraj, Kamil Kaźmierak, Mateusz Krupa, Ewelina Narejko, Rafał Pytka

24-27
APPLICATION OF 3D ELECTRICAL CAPACITANCE TOMOGRAPHY FOR PHASE FRACTION DETERMINATION AND STRUTURES IDENTIFICATION IN TWO-PHASE FLOWS
Robert Banasiak, Radosław Wajman, Henryk Fidos, Paweł Fiderek, Tomasz Jaworski, Jacek Nowakowski, Dominik Sankowski

28-31
NEW TUNNEL BASED METHOD OF SENSITIVITY MATRIX CALCULATION FOR 3D CAPACITANCE TOMOGRAPHY IMAGE RECONSTRUCTION
Radosław Wajman, Robert Banasiak

32-37
ALGORITHM OF TIME STAMPS DISTRIBUTION FOR DATA SYNCHRONIZATION OF VARIOUS MEASUREMENT SYSTEMS
Radosław Wajman, Tomasz Jaworski, Paweł Fiderek, Robert Banasiak

38-40
TWO-PHASE FLOW STRUCTURE IDENTIFICATION BASED ON FUZZY ASSESMENT OF 3D TOMOGRAPHICAL IMAGING
Tomasz Jaworski, Paweł Fiderek, Radosław Wajman, Robert Banasiak

41-48
METROLOGICAL EVALUATION OF MEASUREMENT SYSTEM FOR TWO-PHASE FLOW FRACTIONS DETERMINATION USING 3D ELECTRICAL CAPACITANCE TOMOGRAPHY
Radosław Wajman, Henryk Fidos, Paweł Fiderek, Tomasz Jaworski, Jacek Nowakowski, Dominik Sankowski, Robert Banasiak

49-54
HISTORY MANAGEMENT OF DATA – SLOWLY CHANGING DIMENSIONS
Marek Wancerz, Paweł Wancerz

55-56
ELECTRICAL IMPEDANCE TOMOGRAPHY HARDWARE SYSTEM BASED ON LOW POWER DIGITAL SIGNAL PROCESSOR
Daniel Olchowy

57-58

DOI

https://doi.org/10.35784/iapgos.1462

Authors

Tomasz Jaworski

tjaworski@kis.p.lodz.pl

Lodz University of Technology, Institute of Applied Computer Science, Poland

Paweł Fiderek

p.fiderek@kis.p.lodz.pl

Lodz University of Technology, Institute of Applied Computer Science, Poland

Radosław Wajman

rwajman@kis.p.lodz.pl

Lodz University of Technology, Institute of Applied Computer Science, Poland

Robert Banasiak

robert.banasiak@p.lodz.pl

Lodz University of Technology, Institute of Applied Computer Science, Poland

Abstract

The following paper presents results of research on automated two-phase flow pattern identification, which is based on a fuzzy assessment of registered spatial images. Such images are obtained from 3D tomography reconstruction algorithms and for each a set of fuzzy-based features is calculated. Finally, acquired features are used to classify obtained image to one of flow regime structures.

Keywords:

fuzzy logic, fuzzy image assessment, image processing, spatial images

References

Al-sharhan S. , Karray F. , Gueaieb W., Basir O.: Fuzzy entropy: a brief survey in Fuzzy Systems. The 10th IEEE International Conference on, vol. 3, 2001, pp. 1135-1139.

Banasiak R. , Wajman R. , Fidos H. , Fiderek P. , Jaworski T. , Nowakowski J. , Sankowski D. : System trójwymiarowej tomografii pojemnościowej w zastosowaniu do wyznaczania udziału faz oraz identyfikacji struktur w przepływach mieszanin gaz-ciecz. IAPGOS, 2013, nr 3, 28-31. DOI: https://doi.org/10.35784/iapgos.1459

Caniere H. , Bauwens B. , T’Joen C. , and Paepe M. D.: Probabilistic mapping of adiabatic horizontal two-phase flow by capacitance signal feature clustering. International Journal of Multiphase Flow, vol. 35, no. 7, 2009, pp. 650 – 660. DOI: https://doi.org/10.1016/j.ijmultiphaseflow.2009.03.006

Cho K.-H., Kim S. , Lee Y.-J.: A fast eit image reconstruction method for the two-phase flow visualization. International Communications in Heat and Mass Transfer, vol. 26, no. 5, 1999, pp. 637 – 646. DOI: https://doi.org/10.1016/S0735-1933(99)00050-0

Cho K. H., Kim S. , Lee Y. J.: Impedance imaging of two-phase flow field with mesh grouping method. Nuclear Engineering and Design, vol. 204, no. 1–3, 2001, pp. 57 – 67. DOI: https://doi.org/10.1016/S0029-5493(00)00320-4

Cortes C. and Vapnik V. , Support-vector networks. Mach. Learn., vol. 20, Sept. 1995, pp. 273–297. DOI: https://doi.org/10.1007/BF00994018

Dunn J. C.: A fuzzy relative of the ISODATA process and its use in detecting compact Well-Separated clusters. Journal of Cybernetics, vol. 3, no. 3, 1973, pp. 32–57. DOI: https://doi.org/10.1080/01969727308546046

Evgeniou T. , Pontil M. and Elisseeff A.: Leave one out error, stability, and generalization of voting combinations of classifiers. Mach. Learn., vol. 55, Apr. 2004, pp. 71–97. DOI: https://doi.org/10.1023/B:MACH.0000019805.88351.60

Guyon I. , Weston J. , Barnhill S. , Vapnik V.: Gene selection for cancer classification using support vector machines. Mach. Learn., vol. 46, Mar. 2002, pp. 389–422. DOI: https://doi.org/10.1023/A:1012487302797

Kohavi R. and Provost F.: Glossary of terms. Machine Learning, vol. 30, pp. 271–274, 1998. 10.1023/A:1017181826899. DOI: https://doi.org/10.1023/A:1007442505281

Li H. , Zhou Z. , Hu C.: Measurement and evaluation of two-phase flow parameters. Instrumentation and Measurement, IEEE Transactions on, vol. 41, apr 1992, pp. 298 –303. DOI: https://doi.org/10.1109/19.137364

Rahmat M. F., Kamaruddin N. S., Isa M. D.: Flow regime identification in pneumatic conveyor using electrodynamic transducer and fuzzy logic method. Journal on Smart Sensing and Intelligent Systems, vol. 2, 2009, pp. 396–416. DOI: https://doi.org/10.21307/ijssis-2017-357

Rifkin R. and Klautau A.: In defense of one-vs-all classification. J. Mach. Learn. Res., vol. 5, Dec. 2004, pp. 101–141.

Tsoukalas L. H., Ishii M. , and Mi Y.: A neurofuzzy methodology for impedance-based multiphase flow identification. Engineering Applications of Artificial Intelligence, vol. 10, no. 6, 1997, pp. 545 – 555. DOI: https://doi.org/10.1016/S0952-1976(97)00037-7

Wajman R. , Banasiak R.: Nowa metoda tunelowego wyznaczania macierzy wrażliwości dla potrzeb procesu rekonstrukcji obrazów dla trójwymiarowej tomografii pojemnościowej. IAPGOS, 2013, nr 3, 32-37. DOI: https://doi.org/10.35784/iapgos.1460

Jaworski, T., Fiderek, P. ., Wajman, R. ., & Banasiak, R. (2013). TWO-PHASE FLOW STRUCTURE IDENTIFICATION BASED ON FUZZY ASSESMENT OF 3D TOMOGRAPHICAL IMAGING. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 3(3), 41–48. https://doi.org/10.35784/iapgos.1462

TWO-PHASE FLOW STRUCTURE IDENTIFICATION BASED ON FUZZY ASSESMENT OF 3D TOMOGRAPHICAL IMAGING

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