| 基于改进RBF神经网络的某型机载雷达电路故障诊断 |
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| 引用本文： | 杨宜林,王德功,常硕.基于改进RBF神经网络的某型机载雷达电路故障诊断[J].飞机设计,2012(2):77-80. |
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| 作者姓名： | 杨宜林 王德功 常硕 |
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| 作者单位： | 空军航空大学航空电子工程系 |
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| 基金项目： | 空军装备部科研基金资助项目 |
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| 摘 要： | RBF神经网络在故障诊断中的应用是一个十分热门的研究课题。但RBF神经网络用于故障诊断需要大量的隐含层节点,隐含层节点越多其训练时间越长。针对此问题,提出了一种改进的RBF神经网络故障诊断方法。通过仿真实例,可以看出隐含层的节点大大减少,训练时间缩短,该方法用于雷达故障诊断非常有效。
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| 关 键 词： | RBF神经网络 雷达 故障诊断 |
Fault Diagnosis for a Certain Type of Airborne Radar Circuit Based on Improved RBF Neural Networ |
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| YANG Yi-lin,WANG De-gong,CHANG Shuo.Fault Diagnosis for a Certain Type of Airborne Radar Circuit Based on Improved RBF Neural Networ[J].Aircraft Design,2012(2):77-80. |
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| Authors: | YANG Yi-lin WANG De-gong CHANG Shuo |
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| Institution: | (Aviation Electronic Engineering Department,Aviation University of Air Force, Changchun 130022,China) |
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| Abstract: | Study on RBF neural network applied in diagnosing fault is one of important problems.However,there are many nerve cells of hidden layer when RBF neural network is applied in diagnosing fault.Training time is longer when nerve cells of hidden layer are more.A kind of diagnosing fault’s method based on improved RBF neural network is put forward to solve the problem.The nerve cells of hidden layer is less and Training time is shorter.The method is effective when it is applied in diagnosing the faults of radar’s circuits. |
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| Keywords: | RBF neural network radar fault diagnosis |
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