Voidage Measurement of Air-Water Two-phase Flow Based on ERT Sensor and Data Mining Technology

›› 2012, Vol. 20 ›› Issue (2): 400-405.

• SELECTED PAPERS FROM THE 6TH WORLD CONGRESS ON INDUSTRIAL PROCESS TOMOGRAPHY (WCIPT6) • 上一篇下一篇

Voidage Measurement of Air-Water Two-phase Flow Based on ERT Sensor and Data Mining Technology

王保良, 孟振振, 黄志尧, 冀海峰, 李海青

State Key Laboratory of Industrial Control Technology, Department of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China

收稿日期:2011-11-17 修回日期:2012-01-17 出版日期:2012-04-28 发布日期:2012-05-02
通讯作者: WANG Baoliang
基金资助:
Supported by the National Natural Science Foundation of China (60972138)

Voidage Measurement of Air-Water Two-phase Flow Based on ERT Sensor and Data Mining Technology

WANG Baoliang, MENG Zhenzhen, HUANG Zhiyao, JI Haifeng, LI Haiqing

State Key Laboratory of Industrial Control Technology, Department of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China

Received:2011-11-17 Revised:2012-01-17 Online:2012-04-28 Published:2012-05-02
Supported by:
Supported by the National Natural Science Foundation of China (60972138)

摘要/Abstract

摘要： Based on an electrical resistance tomography(ERT) sensor and the data mining technology,a new voidage measurement method is proposed for air-water two-phase flow.The data mining technology used in this work is a least squares support vector machine(LS-SVM) algorithm together with the feature extraction method,and three feature extraction methods are tested:principal component analysis(PCA),partial least squares(PLS) and independent component analysis(ICA).In the practical voidage measurement process,the flow pattern is firstly identified directly from the conductance values obtained by the ERT sensor.Then,the appropriate voidage measurement model is selected according to the flow pattern identification result.Finally,the voidage is calculated.Experimental results show that the proposed method can measure the voidage effectively,and the measurement accuracy and speed are satisfactory.Compared with the conventional voidage measurement methods based on ERT,the proposed method doesn’t need any image reconstruction process,so it has the advantage of good real-time performance.Due to the introduction of flow pattern identification,the influence of flow pattern on the voidage measurement is overcome.Besides,it is demonstrated that the LS-SVM method with PLS feature extraction presents the best measurement performance among the tested methods.

关键词: two-phase flow, voidage measurement, electrical resistance tomography sensor, data mining, feature extraction

Abstract: Based on an electrical resistance tomography(ERT) sensor and the data mining technology,a new voidage measurement method is proposed for air-water two-phase flow.The data mining technology used in this work is a least squares support vector machine(LS-SVM) algorithm together with the feature extraction method,and three feature extraction methods are tested:principal component analysis(PCA),partial least squares(PLS) and independent component analysis(ICA).In the practical voidage measurement process,the flow pattern is firstly identified directly from the conductance values obtained by the ERT sensor.Then,the appropriate voidage measurement model is selected according to the flow pattern identification result.Finally,the voidage is calculated.Experimental results show that the proposed method can measure the voidage effectively,and the measurement accuracy and speed are satisfactory.Compared with the conventional voidage measurement methods based on ERT,the proposed method doesn’t need any image reconstruction process,so it has the advantage of good real-time performance.Due to the introduction of flow pattern identification,the influence of flow pattern on the voidage measurement is overcome.Besides,it is demonstrated that the LS-SVM method with PLS feature extraction presents the best measurement performance among the tested methods.

Key words: two-phase flow, voidage measurement, electrical resistance tomography sensor, data mining, feature extraction

王保良, 孟振振, 黄志尧, 冀海峰, 李海青. Voidage Measurement of Air-Water Two-phase Flow Based on ERT Sensor and Data Mining Technology[J]. , 2012, 20(2): 400-405.

WANG Baoliang, MENG Zhenzhen, HUANG Zhiyao, JI Haifeng, LI Haiqing. Voidage Measurement of Air-Water Two-phase Flow Based on ERT Sensor and Data Mining Technology[J]. , 2012, 20(2): 400-405.

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Voidage Measurement of Air-Water Two-phase Flow Based on ERT Sensor and Data Mining Technology

Voidage Measurement of Air-Water Two-phase Flow Based on ERT Sensor and Data Mining Technology

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