FUZZY CLUSTERING OF RAW THREE DIMENSIONAL TOMOGRAPHIC DATA FOR TWO-PHASE FLOWS RECOGNITION
Paweł Fiderek
p.fiderek@kis.p.lodz.plPolitechnika 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)
Abstract
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.
Keywords:
fuzzy logic, fuzzy clustering, three dimensional capacitance tomographyReferences
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Authors
Paweł Fiderekp.fiderek@kis.p.lodz.pl
Politechnika Łódzka, Instytut Informatyki Stosowanej Poland
Authors
Tomasz JaworskiPolitechnika Łódzka, Instytut Informatyki Stosowanej Poland
Authors
Radosław WajmanPolitechnika Łódzka, Instytut Informatyki Stosowanej Poland
Authors
Jacek KucharskiPolitechnika Łódzka, Instytut Informatyki Stosowanej Poland
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