| 基于神经网络的空气源热泵机组的故障诊断 |
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| 引用本文： | 姜益强,姚杨,马最良.基于神经网络的空气源热泵机组的故障诊断[J].哈尔滨工业大学学报,2002,34(6):770-772. |
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| 作者姓名： | 姜益强 姚杨 马最良 |
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| 作者单位： | 哈尔滨工业大学市政环境工程学院,黑龙江,哈尔滨,150001 |
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| 基金项目： | 国家自然科学基金资助项目(50278021)，哈尔滨工业大学科学研究基金资助项目(HIT.2000.26). |
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| 摘 要： | 针对传统诊断技术的局限性，研究了基于BP模型神经网络的故障诊断方法，建立了基于BP神经网络的空气源热泵机组的故障诊断模型，并用来自模拟实验的征兆实例和领域专家的知识对神经网络进行了训练。诊断结果表明，对于已学习过的样本知识，网络的输出与希望结果充分相符，基于人工神经网络的空气源热泵冷热水机组的故障诊断是行之有效的。
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| 关 键 词： | BP神经网络 故障诊断 空气源热泵机组 模型 制冷 制热 |
| 文章编号： | 0367-6234(2002)06-0770-03 |
| 修稿时间： | 2001年12月10 |
Fault diagnosis based on neural net for air- source heat pump units |
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| JIANG Yi-qiang,YAO Yang,MA Zui-liangSchool of Municipal and Environmental Engineering,Harbin Institute of Technology,Harbin ,China.Fault diagnosis based on neural net for air- source heat pump units[J].Journal of Harbin Institute of Technology,2002,34(6):770-772. |
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| Authors: | JIANG Yi-qiang YAO Yang MA Zui-liangSchool of Municipal and Environmental Engineering Harbin Institute of Technology Harbin China |
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| Affiliation: | JIANG Yi-qiang,YAO Yang,MA Zui-liangSchool of Municipal and Environmental Engineering,Harbin Institute of Technology,Harbin 150001,China |
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| Abstract: | From the traditional diagnosis technology, a fault diagnosis based on BP model neural network is established for the air source heat pump unit, and then it is trained by typical fault samples from simulation experiment and expert knowledge. It need not set up a complicated mathematical model, and also need not complicated mathematical calculation and data processing. All you need do is to select enough typical fault samples to train the neural network. The simulation results show that once the neural network training has finished , to samples having been learned, the output of neutral net is well corresponding to expected results, and fault diagnosis for air source heat pump unit based on neural network is very effective. |
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| Keywords: | BP model neural network fault diagnosis air source heat pump unit |
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