| RBF神经网络在定日镜场故障诊断中的应用 |
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| 引用本文： | 王成昱,万定生,郭铁铮.RBF神经网络在定日镜场故障诊断中的应用[J].信息技术,2011,35(1):6-9,13. |
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| 作者姓名： | 王成昱 万定生 郭铁铮 |
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| 作者单位： | 1. 河海大学计算机与信息学院,南京,211100
2. 河海大学水利水电学院,南京,210098 |
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| 摘 要： | 针对定日镜场故障与征兆之间的关系特点,介绍了RBF神经网络运用于定日镜场故障诊断的基本方法。利用MATLAB神经网络工具箱建立和训练RBF神经网络,并对网络进行了测试。结果说明RBF神经网络在定日镜场故障诊断中具有较高的准确性和可靠性。
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| 关 键 词： | 故障诊断 RBF神经网络 太阳能发电 定日镜场 |
Application of RBF neural network to fault diagnosis in heliostats filed |
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| WANG Cheng-yu,WAN Ding-sheng,GUO Tie-zheng.Application of RBF neural network to fault diagnosis in heliostats filed[J].Information Technology,2011,35(1):6-9,13. |
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| Authors: | WANG Cheng-yu WAN Ding-sheng GUO Tie-zheng |
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| Affiliation: | 1.College of Computer and Information,Hehai University,Nanjing 211100,China;2.College of Water Conservancy and Hydropower Engineering,Hehai University,Nanjing 210098,China) |
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| Abstract: | For the characteristic of the relationship between faults and symptoms,the basic principle and method of application of RBF neural network technique for the fault diagnosis in heliostats filed were introduced.The RBF neural network was built by using the neural network toolbox of MATLAB.The test result showed the use of the RBF network neural model was accurate and reliable. |
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| Keywords: | fault diagnosis RBF neural network solar power plants heliostats field |
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