The paper contains a description of the fuzzy clustering method usage for the recognition of two-phase gas-liquid flows. The authors present a detailed description of the obtaining process of three dimensional tomographic data, the so-called raw tomographic data, and new methods of the data collection, interpretation and statistical processing. In addition, the article includes a description of the key issues in the field of fuzzy logic and fuzzy clustering such as the determination of the primary features vector or the fuzzy classifier (FCM) principle of use with a specific type of data used in the study. Justifying the choice of fuzzy clustering authors presented the results of experiments carried out, which confirmed that the fuzzy algorithms are very good matched to the study of phenomena of a very dynamic nature, which, definitely, are the two-phase gas-liquid flows.


fuzzy logic; fuzzy clustering; three dimensional capacitance tomography

Correa C., Valero C., Barreiro P., Diago M. P., Tardáguila J.: Feature extraction on vineyard by Gustafson Kessel FCM and K-means. Proceedings of the Mediterranean Electrotechnical Conference, Melecon 2012.

Ji Z., Xia Y., Chen Q., Sun Q., Xia D., Feng D. D.: Fuzzy c-means clustering with weighted image patch for image segmentation. Applied Soft Computing Journal 12 (6), 2012, 1659–1667.

Kannan S. R., Ramathilagam S., Chung P. C.: Effective fuzzy c-means clustering algorithms for data clustering problems. Expert Systems with Applications 39 (7), 2012, 6292–6300.

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

Ross T. J.: Fuzzy logic with engineering applications. John Wiley & Sons, 1995.

Shao Xiao-Yin, Huang Zhi-Yao, Ji Hai-Feng, Li Hai-Qing: Study on Flow Pattern Identification of Gas-oil Two-phase Flow Based on Electrical Capacitance Tomography and Fuzzy Pattern Recognition. Journal of Chemical Engineering of Chinese Universities, 2003.

Soleimani M., Mitchrll C. N., Banasiak R., Wajman R., Adler A.: Four-dimensional electrical cacitance tomography imaging using experimental data. Progress in Electromagnetics Reseach. 2009.

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

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

Published : 2015-10-28

Fiderek, P., Jaworski, T., Wajman, R., & Kucharski, J. (2015). FUZZY CLUSTERING OF RAW THREE DIMENSIONAL TOMOGRAPHIC DATA FOR TWO-PHASE FLOWS RECOGNITION. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 5(4), 12-15. https://doi.org/10.5604/20830157.1176565

Paweł Fiderek  p.fiderek@kis.p.lodz.pl
Politechnika Łódzka, Instytut Informatyki Stosowanej  Poland
Tomasz Jaworski 
Politechnika Łódzka, Instytut Informatyki Stosowanej  Poland
Radosław Wajman 
Politechnika Łódzka, Instytut Informatyki Stosowanej  Poland
Jacek Kucharski 
Politechnika Łódzka, Instytut Informatyki Stosowanej  Poland