Please wait a minute...
ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2005, Vol. 6 Issue (12): 14-    DOI: 10.1631/jzus.2005.A1441
    
Voidage measurement based on genetic algorithm and electrical capacitance tomography
Wang Wei-wei, Wang Bao-liang, Huang Zhi-yao, Li Hai-qing
Department of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China
Download:     PDF (0 KB)     
Export: BibTeX | EndNote (RIS)      

Abstract  A new voidage measurement method based on electrical capacitance tomography (ECT) technique, Genetic Algorithm (GA) and Partial Least Square (PLS) method was proposed. The voidage measurement model, linear capacitance combination, was developed to measure on-line voidage. GA and PLS method were used to determine the coefficients of the voidage measurement model. GA was used to explore the optimal capacitance combination which gave significant contribution to the voidage measurement. PLS method was applied to determine the weight coefficient of the contribution of each capacitance to the voidage measurement. Flow pattern identification result was introduced to improve the voidage measurement accuracy. Experimental results showed that the proposed voidage measurement method is effective and that the measurement accuracy is satisfactory.

Key words： Voidage      Two-phase flow      Genetic Algorithm (GA)      Electrical capacitance tomography (ECT)     
Received: 07 September 2004     
CLC:  TB126  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Wang Wei-wei
Wang Bao-liang
Huang Zhi-yao
Li Hai-qing
Cite this article:

Wang Wei-wei, Wang Bao-liang, Huang Zhi-yao, Li Hai-qing. Voidage measurement based on genetic algorithm and electrical capacitance tomography. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2005, 6(12): 14-.

URL:

http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2005.A1441     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2005/V6/I12/14

[1] Xu-bo Gan, Dong-wei Yao, Feng Wu, Jia-wei Dai, Lai Wei, Xing-wen Li. Quasi 1D modeling of two-phase flow and deposit formation for urea-selective catalytic reduction systems[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2016, 17(8): 597-613.
[2] Hao Zheng, Yi-xiong Feng, Jian-rong Tan, Zhi-feng Zhang, Zi-xian Zhang. An integrated cognitive computing approach for systematic conceptual design[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2016, 17(4): 286-294.
[3] Jin Cheng, Ming-yang Tang, Zhen-yu Liu, Jian-rong Tan. Direct reliability-based design optimization of uncertain structures with interval parameters[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2016, 17(11): 841-854.
[4] Zhi-feng Zhang, Yi-xiong Feng, Jian-rong Tan, Wei-qiang Jia, Guo-dong Yi. A novel approach for parallel disassembly design based on a hybrid fuzzy-time model[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2015, 16(9): 724-736.
[5] Hong-li QI, Hui ZHAO, Wei-wen LIU, Hai-bo ZHANG. Parameters optimization and nonlinearity analysis of grating eddy current displacement sensor using neural network and genetic algorithm[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2009, 10(8): 1205-1212.
[6] Shervin VAKILI, Sied Mehdi FAKHRAIE, Siamak MOHAMMADI, Ali AHMADI. Low-cost fault tolerance in evolvable multiprocessor systems: a graceful degradation approach[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2009, 10(6): 922-926.
[7] Mohsen GITIZADEH, Mohsen KALANTAR. Optimum allocation of FACTS devices in Fars Regional Electric Network using genetic algorithm based goal attainment[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2009, 10(4): 478-487.
[8] Bo JIAO, Li-min QIU, Jun-liang LU, Zhi-hua GAN. Liquid film dryout model for predicting critical heat flux in annular two-phase flow[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2009, 10(3): 398-417.
[9] Peng-fei LIU, Ping XU, Shu-xin HAN, Jin-yang ZHENG. Optimal design of pressure vessel using an improved genetic algorithm[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2008, 9(9): 1264-1269.
[10] Xue-cheng WU, Qin-hui WANG, Chen TIAN, Zhong-yang LUO, Meng-xiang FANG, Ke-fa CEN. Experimental study on the spatial distribution of particle rotation in the upper dilute zone of a cold CFB riser[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2008, 9(7): 922-931.
[11] Li ZHU, Zhi-shu LI, Liang-yin CHEN, Yan-hong CHENG. Two-stage evolutionary algorithm for dynamic multicast routing in mesh network[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2008, 9(6): 791-798.
[12] Arash SAYYAH, Mitra AFLAKI, Alireza REZAZADEH. Optimization of total harmonic current distortion and torque pulsation reduction in high-power induction motors using genetic algorithms[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2008, 9(12): 1741-1752.
[13] Qing GAO, Qin-he ZHANG, Shu-peng SU, Jian-hua ZHANG. Parameter optimization model in electrical discharge machining process[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2008, 9(1): 104-108.
[14] WU Xiao-juan, ZHU Xin-jian, CAO Guang-yi, TU Heng-yong. Nonlinear modelling of a SOFC stack by improved neural networks identification[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2007, 8(9): 1505-1509.
[15] SUDHAKARAN M., AJAY-D-VIMALRAJ P., PALANIVELU T.G.. GA and PSO culled hybrid technique for economic dispatch problem with prohibited operating zones[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2007, 8(6): 896-903.