Neural network based objective flow regime identification in air‐water two phase flow

Canadian Journal of Chemical Engineering - Tập 72 Số 3 - Trang 440-445 - 1994
Shiqian Cai1, Haluk Toral1, Jianhung Qiu1, J. S. Archer1
1Department of Mineral Resources Engineering, Imperial College of Science Technology and Medicine, Prince Consort Road, London SW7 2BP, United Kingdom

Tóm tắt

AbstractThe Kohonen self‐organising neural network was applied to identify flow regimes in horizontal air‐water flow. The neural network was trained with stochastic features derived from turbulent absolute pressure signals obtained across a range of flow regimes. The feature map succeeded in classifying samples into distinctive flow regime classes consistent with the visual flow regime observation.

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