| 补偿模糊神经网络的改进及其在通风空调故障诊断中的应用 |
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| 引用本文： | 段淇倡,刘顺波,周光伟.补偿模糊神经网络的改进及其在通风空调故障诊断中的应用[J].制冷,2012,31(1):14-18. |
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| 作者姓名： | 段淇倡 刘顺波 周光伟 |
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| 作者单位： | 1. 第二炮兵工程大学,西安,710025
2. 中国人民解放军96631部队,北京,710025 |
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| 摘 要： | 对传统补偿模糊神经网络(CFNN)的算法进行了改进,提出了动态调整学习步长的方法,避免了较大震荡,同时加快了迭代速度,与定学习步长的方法相比,学习速度和误差精度都有大大提高,最后通过仿真实验证明该方法在地下通风空调系统故障诊断中,具有收敛速度快,诊断精度高,并且适应性强等优点.
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| 关 键 词： | 补偿模糊神经网络 算法改进 故障诊断 通风空调系统 |
An Improved Compensation Fuzzy Neural Networks and Using in Fault Diagnosis of Ventilation and Air-Conditioning System |
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| DUAN Qichang
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LIU Shunbo
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ZHOU Guangwei.An Improved Compensation Fuzzy Neural Networks and Using in Fault Diagnosis of Ventilation and Air-Conditioning System[J].Refrigeration,2012,31(1):14-18. |
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| Authors: | DUAN Qichang LIU Shunbo ZHOU Guangwei |
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| Affiliation: | 1.The Second Artillery Engineering University,Xi′an 710025;2.Unit 96631 of People′s Liberation Army,Beijing 102208) |
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| Abstract: | the paper establishes a kind of improved compensation fuzzy neural networks,which puts forward a method that can dynamically adjust the learning step,so the sway phenomenon can be minimized and the learning step can be quickly speeded,compared with traditional method the convergence speed and the error precision are improved greatly,finally,experiments show that the program is excellence in ventilation and air-conditioning system of underground engineering,realizes the function of high study speed and error precision. |
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| Keywords: | Compensation fuzzy neural networks Arithmetic improving Fault diagnosis Ventilation and air-conditioning system |
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