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王延锋,张连军,段海鹏. 基于遗传算法-BP神经网络的径向式导叶多级泵水力性能优化[J]. 科学技术与工程, 2021, 21(4): 1375-1381.
wangyanfeng.Hydraulic Performance Optimization of Radial Diffuser Multistage Pump Based on GA-BP Neural Network[J].Science Technology and Engineering,2021,21(4):1375-1381.
基于遗传算法-BP神经网络的径向式导叶多级泵水力性能优化
Hydraulic Performance Optimization of Radial Diffuser Multistage Pump Based on GA-BP Neural Network
投稿时间:2020-04-27  修订日期:2020-11-23
DOI:
中文关键词:  径向式导叶多级泵  水力性能  遗传算法  BP神经网络  性能预测
英文关键词:Radial Diffuser Multistage Pump  Hydraulic Performance  Genetic Algorithm  BP Neural Network  Performance Prediction
基金项目:国家重点研发计划项目(2017YFC0804100)
        
作者单位
王延锋 河南工业大学
张连军 安标国家矿用产品安全标志中心有限公司
段海鹏 中煤科工集团唐山研究院有限公司
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中文摘要:
      针对径向式导叶多级泵内部流动状态复杂多变而导致其水力性能曲线难以精确测量的技术难题,本文采用GA算法(遗传算法)迭代优化BP神经网络的权值与阈值,构建了基于GA-BP神经网络的径向式导叶多级泵水力性能预测模型,以MD500-57型径向式导叶多级泵为研究对象,建立了输入层为13个神经元、隐含层为10个神经元、输出层为2个神经元的GA-BP神经网络,采用正交试验方法设计了试验参数的正交试验方案,运用数值模拟计算方法对正交试验方案进行求解,获得了试验参数的训练样本,并对神经网络进行训练与测试,计算了过流部件关键几何参数的最优组合方案,通过试验表明优化后该多级泵在设计工况下扬程增加了2.4m,效率提高了3.34%,且高效区范围变宽。
英文摘要:
      Aiming at the technical problem that the flow state of radial diffuser multistage pump is complex and changeable, which makes it difficult to accurately measure its hydraulic performance curve, this paper adopted genetic algorithm to optimize the weight and threshold of BP neural network. We constructed a hydraulic performance prediction model of radial diffuser multistage pump based on GA-BP neural network. Based on MD500-57 as the research object, we established GA-BP neural network of the input layer to 13 neurons, hidden layer to 10 neurons, and output layer to 2 neurons. The test scheme designed by using the orthogonal test method was solved by numerical simulation method. The GA-BP neural network was trained and tested based on training samples. Then, we calculated the optimal combination scheme of the key geometric parameters in the overcurrent component. The tests show that the head of the radial diffuser multistage pump is increased by 2.4m, the efficiency is increased by 3.34%, and the range of high efficiency zone is widened
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