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| 空调热水一体机结霜工况下运行特性的模拟研究 | |
| 引用本文： | 江乐新,余星,楼静,黎恢山. 空调热水一体机结霜工况下运行特性的模拟研究[J]. 低温与超导, 2010, 38(11) |
| 作者姓名： | 江乐新 余星 楼静 黎恢山 |
| 作者单位： | 中南大学机电工程学院,长沙,410012;湖南亿利达实业有限公司,长沙,410004 |
| 基金项目： | 湖南省科技计划项目(2009GK3147); 长沙市重点科技计划项目(K0904030-11) |
| 摘 要： | 针对传统建模方法的局限性,采用人工神经网络对冬季结霜工况下空调热水一体机的动态运行特性进行了模拟研究,利用BP算法对网络的各层连接权值进行学习和调整,建立了机组运行特性预测模型;采用期望偏差百分率(EEPk)进行误差分析,其计算结果表明网络的预测效果与训练效果吻合较好,证明该方法切实可行,为更好的分析空调热水一体机的性能提供一种思路,同时也为机组的除霜控制和在线故障诊断提供了参考。 |
| 关 键 词： | 空调热水一体机 BP神经网络 结霜 运行特性 |
The simulation on operating characteristics of air-conditioning and heat water unit under frosting |
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| Jiang Lexin,Yu Xing,Lou Jing,Li Huishan. The simulation on operating characteristics of air-conditioning and heat water unit under frosting[J]. Cryogenics and Superconductivity, 2010, 38(11) | |
| Authors: | Jiang Lexin Yu Xing Lou Jing Li Huishan |
| Affiliation: | Jiang Lexin1,Yu Xing1,Lou Jing1,Li Huishan2(1.Institute of Mechanical and Electrical Engineering,Central South University,Changsha 410083,China,2.Hunan Ilida Industry Limited Company,Changsha 410004,China) |
| Abstract: | Considering disadvantages of traditional modeling methods,the operation characteristics of dynamic of air-condition and heat water unit under frosting was simulated using the neural networks,the connection power of the networks was studied and adjusted using BP algorithm,a prediction model was established.The generalization ability of the network was used to judge if the model can be safely used.The results indicate that the model can be used by error analysis using percentage deviation expectations(EEPk). |
| Keywords: | Air-conditioning and heat water unit BP neural network Frost Operating characteristics |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |