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Non-invasive on-line two-phase flow regime identification

Tatiana Tambouratzis ; Imre Pázsit (Institutionen för teknisk fysik, Nukleär teknik)
Computational Intelligence in Decision and Control - 8th International FLINS Conference; Madrid; Spain; 21 September 2008 through 24 September 2008 p. 453-458. (2008)
[Konferensbidrag, refereegranskat]

A novel non-invasive methodology is proposed for the classification of BWR two-phase flow regimes. Neutron radiography images (frames) of coolant flow recordings (videos) are used. Following image pre-processing via directly computable statistical operators, the extracted statistical characteristics are input into an ensemble of self-organizing maps. The individual decisions are averaged, resulting in the accurate on-line classification of each image into the corresponding flow regime.

Denna post skapades 2017-11-14.
CPL Pubid: 253130


Institutioner (Chalmers)

Institutionen för teknisk fysik, Nukleär teknik (2006-2015)


Teknisk fysik

Chalmers infrastruktur