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Multi-objective optimization design of the multiphase pump boosting cell
Ma, Xijin; Li, Xinkai; Yang, Dengfeng
2011
会议日期July 15, 2011 - July 17, 2011
会议地点Inner Mongolia, China
关键词Decision making Efficiency Forecasting Neural networks Particle swarm optimization (PSO) Pumps Statistics Fuzzy preference information Multi attribute decision making methods Multiphase pumps Numerical calculation Optimization scheme Orthogonal experimental design Prediction performance Pso-bp neural networks
DOI10.1109/MACE.2011.5987682
页码3243-3246
英文摘要Based on the boosting cell parameters of the third generation YQH-100 multiphase pump independently developed, the orthogonal experimental design was used to design the optimization scheme, using relative head and efficiency as the evaluation targets for the multi-objective optimization design. The software FLUENT was used to predict relative head and efficiency of the multiphase pump. BP neural networks and PSO-BP neural networks were adopted to construct the response relation between the design variable and the objective function .The predict results show that the prediction performance of PSO-BP neural network was much better than BP neural network. A multi-attribute decision making method based on fuzzy preference information was used to select the best multi-objective solution .The optimization results show that relative head and efficiency of the multiphase pump were increased by 0.81 % and 0.77%,respectively. © 2011 IEEE.
会议录2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings
会议录出版者IEEE Computer Society
语种中文
内容类型会议论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/116302]  
专题新能源学院
能源与动力工程学院
作者单位School of Energy and Power Engineering, Lanzhou Univ.of Tech Acceptable, Lanzhou 730050, China
推荐引用方式
GB/T 7714
Ma, Xijin,Li, Xinkai,Yang, Dengfeng. Multi-objective optimization design of the multiphase pump boosting cell[C]. 见:. Inner Mongolia, China. July 15, 2011 - July 17, 2011.
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