PCA mixed feature fusion based gas-liquid two-phase flow type identification method

Abstract

The invention relates to the technical field of gas-liquid two-phase flow measurement, in particular to a PCA mixed feature fusion based gas-liquid two-phase flow type identification method. The PCA mixed feature fusion based gas-liquid two-phase flow type identification method comprises: acquiring a flow type image by utilizing a high-speed camera; performing feature analysis on a preprocessed image; extracting three features including an invariant moment feature, a gray-level cooccurrence matrix feature and an LBP feature; performing fusion and dimension reduction on the three features, and performing classification identification by adopting a BP neutral network; and finally, applying a classification identification result to online automatic detection of two-phase flow. The three-feature fusion based method can better reflect image information. The mixed feature dimension number is relatively high, the calculation complexity is relatively high, and the consumed time is long, so that online detection is not facilitated. With the adoption of a PCA technology, the data dimensions can be effectively reduced, the calculation amount can be reduced, original information can be kept from being lost to a great extent, namely, little information is used for representing the original information as far as possible, and data are compressed.

Description

technical field [0001] The invention relates to the technical field of gas-liquid two-phase flow measurement, in particular to a method for flow pattern recognition of gas-liquid two-phase flow based on PCA mixing feature fusion. Background technique [0002] Two-phase flow exists widely in the fields of nature and engineering, and is widely used in petroleum, power, refrigeration, nuclear energy, metallurgy, water conservancy, environmental protection, construction and aerospace. Gas-liquid two-phase flow is one of the most common forms of two-phase flow. The heat transfer and mass transfer characteristics of two-phase fluid will be affected by the flow pattern, and the accurate measurement of other parameters of two-phase flow often depends on the understanding of the flow pattern. It is the calculation basis for determining heat transfer and flow, especially the accuracy of the flow pattern judgment determines the accuracy of the pressure drop calculation. Selecting the ...

AI Technical Summary

Problems solved by technology

However, in the digital image processing method, for feature extraction, the feature information is relatively single, including only one kind of information, which cannot fully express the image information

However, the mixed feature dimension is high, the complexity is large, and it is not easy to calculate. Therefore, the application of online automatic detection is still limited, and further research is still needed.

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