Results 181 to 190 of about 30,981 (205)
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NON-INVASIVE ON-LINE TWO-PHASE FLOW REGIME IDENTIFICATION
Computational Intelligence in Decision and Control, 2008A 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 ...
TATIANA TAMBOURATZIS, IMRE PÁZSIT
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Identification of Two-Phase Flow Regimes by an Optimum Modeling Method
Nuclear Technology, 1988A new technique of identifying the flow regimes of air/water two-phase flow in a vertical pipe is proposed. This technique is based on analyzing the statistical characteristics of the static and differential pressure signals by an optimum modeling method.
C. H. King +3 more
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Intelligent Identification of Flow Regime Based on a Novel Neural Network
Applied Mechanics and Materials, 2014A noveol neural network of Elman is typically dynamic recurrent neural network. A novel method of flow regime identification based on Elman neural network and wavelet packet decomposition is proposed in this paper. Above all, the collected pressure-difference fluctuation signals are decomposed by the four-layer wavelet packet, and the decomposed ...
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Intelligent Identification of Flow Regime Based on Improved BP and IMFs
Advanced Materials Research, 2013Aimed at the characteristic of nonlinear and non-stationary of pressure drop, in this article a flow regime identification soft sensing method using Hilbert-Huang transformation combined with improved BP neural network is put forward. The method analyzes the intrinsic mode function (IMFs) obtained after the empirical mode decomposition (EMD), then ...
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Identification of two-phase flow regime using ultrasonic phased array
Flow Measurement and Instrumentation, 2020Lide Fang, Yousef Faraj
exaly
IEE Proceedings A (Physical Science, Measurement and Instrumentation, Management and Education), 1989
C.G. Xie, A. Plaskowski, M.S. Beck
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C.G. Xie, A. Plaskowski, M.S. Beck
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Flow regime identification in microgravity two-phase flows using void fraction signals
International Journal of Multiphase Flow, 1999K S Rezkallah
exaly

