Improved local binary pattern based gas/liquid two-phase flow regimes analysis

Authors:
Zhang Wenyin;Jin Ningde
Affiliations:
School of Electrical Engineering and Automation, Tianjin University, Tianjin, China and School of Information, Linyi Normal University, Linyi Shandong, P.R China;School of Electrical Engineering and Automation, Tianjin University, Tianjin, China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Year:
2009

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Abstract

A method to analyze gas/liquid two-phase flow regimes based on the Improved Local Binary Patterns (ILBP) is proposed in this paper. The method constructs Texture Pattern Matrix (TPM) based on the ILBP, and five statistic features are extracted from the TPM for the flow regimes analysis. Experimental results demonstrate that the proposed method improves performance both in efficiency and effectiveness in the analysis of flow regimes. It can provide reliable reference for other indirect measurement information used to analyze flow patterns by right of its own physical objectivity.