Energy performance prediction of the centrifugal pumps by using a hybrid neural network
文献类型：期刊论文
| 作者 | Huang RF(黄仁芳); Zhang Z(张珍); Zhang W; Mou JG; Zhou PJ; Wang YW(王一伟)
|
| 刊名 | Energy
 |
| 出版日期 | 2020-12-05 |
| 卷号 | 213页码:119005 |
| 关键词 | Centrifugal pump Energy performance Loss model Physics-informed neural network |
| ISSN号 | 0360-5442 |
| DOI | 10.1016/j.energy.2020.119005 |
| 英文摘要 | It is of great significance to rapidly and accurately predict the energy performance of centrifugal pumps for the macro-control of the entire electric power system. However, some challenges are encountered, for example, the numerical simulation requires huge computing resources and calculating time, the theoretical loss model needs to improve the prediction accuracy, etc. Based on the multiple geometrical parameters and operation conditions, a hybrid neural network is proposed to predict the energy performance (i.e. the head, power and efficiency) of centrifugal pumps, where the theoretical loss model is incorporated into the back propagation neural network and then the neural network structure is optimized by automatically determining the node number of hidden layers. When compared with the experiments, the energy performance is well predicted by using the hybrid neural network with the mean-square-error (MSE) for the head, power and efficiency of 0.0062, 8.4E-4, 0.020, respectively. Besides, by considering the theoretical loss model, the hybrid neural network demonstrates a dramatic decrease in the head MSE and the efficiency MSE when compared with the original neural network. Furthermore, the hybrid neural network performs much better than the traditional linear regression in a wide flow-rate range for multiple centrifugal pumps. |
| 分类号 | 一类 |
| 语种 | 英语 |
| WOS记录号 | WOS:000596821800002 |
| 其他责任者 | Peijian Zhou, Yiwei Wang |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/85687]  |
| 专题 | 力学研究所_流固耦合系统力学重点实验室(2012-) |
| 推荐引用方式 GB/T 7714 | Huang RF,Zhang Z,Zhang W,et al. Energy performance prediction of the centrifugal pumps by using a hybrid neural network[J]. Energy,2020,213:119005. |
| APA | 黄仁芳,张珍,Zhang W,Mou JG,Zhou PJ,&王一伟.(2020).Energy performance prediction of the centrifugal pumps by using a hybrid neural network.Energy,213,119005. |
| MLA | 黄仁芳,et al."Energy performance prediction of the centrifugal pumps by using a hybrid neural network".Energy 213(2020):119005. |
入库方式： OAI收割
来源：力学研究所
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