A fuzzy inference system for two-phase flow regime identification from radiography images
Artikel i vetenskaplig tidskrift, 2010

Swiftly identifying the two-phase flow that occurs in coolant channels is crucial for monitoring energy producing installations such as boiling water reactors. In this piece of research, a Sugeno-type fuzzy inference system is implemented for online, non-invasive flow regime identification. The proposed system is predominantly efficient in its construction and operation: a single directly computable input is employed and as many fuzzy inference outputs and rules are used as there are flow regimes to be identified. Noninvasiveness is accomplished through the utilisation of radiography images. Compactness notwithstanding, the fuzzy inference system successfully and reliably identifies the flow regime of sequences of frames from neutron radiography videos.

energy producing installations

boiling water reactors

flow regime identification

online operation.online operation.online operation.on-line operation.

Sugeno-type

two-phase flow

non-invasiveness

monitoring

coolant channels

fuzzy inference system

neutron radiography images/videos

Författare

Tatiani Tampouratzi

Chalmers, Teknisk fysik, Nukleär teknik

Imre Pazsit

Chalmers, Teknisk fysik, Nukleär teknik

International Journal of Nuclear Energy Science and Technology

1741-6361 (ISSN) 1741-637X (eISSN)

Vol. 5 321-334

Ämneskategorier

Övrig annan teknik

Styrkeområden

Energi