| 神经网络在雷达装备故障趋势预测中的应用 |
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| 引用本文： | 范爱锋,孟亚峰,张宏伟.神经网络在雷达装备故障趋势预测中的应用[J].火力与指挥控制,2011,36(10). |
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| 作者姓名： | 范爱锋 孟亚峰 张宏伟 |
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| 作者单位： | 1. 国防大学,北京,100091
2. 军械工程学院,石家庄,050003 |
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| 摘 要： | 为了提高预测精度,在雷达装备状态监测与故障趋势预测系统中引入基于指数衰减的神经网络预测模型。通过普通BP网络预测模型引出基于指数衰减的神经网络预测模型,经验证预测精度较高。并介绍了雷达装备状态监测与故障趋势预测系统构成,此系统对于雷达装备的早期故障预测和预防性维修具有重要意义。
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| 关 键 词： | 指数衰减 神经网络 状态监测 故障趋势预测 雷达装备 |
Application of Neural Network to Radar Equipment Fault Tendency Forecasting |
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| FAN Ai-feng,MENG Ya-feng,ZHANG Hong-wei.Application of Neural Network to Radar Equipment Fault Tendency Forecasting[J].Fire Control & Command Control,2011,36(10). |
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| Authors: | FAN Ai-feng MENG Ya-feng ZHANG Hong-wei |
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| Institution: | FAN Ai-feng1,MENG Ya-feng2,ZHANG Hong-wei2(1.National Defence University,Beijing 100091,China,2.Ordnance Engineering College,Shijiazhuang 050003,China) |
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| Abstract: | In order to improve forecasting precision,the model of neural network forecasting based on exponential damping,which transfered from normal BP neural network forecasting model,was introduced to the system of radar equipment state monitoring and fault tendency forecasting,and was certified high precision.In the paper,the structure of radar equipment state monitoring and fault forecasting system was presented which is important in fault forepart forecasting and preventive maintenance of radar equipment. |
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| Keywords: | exponential damping neural network state monitoring fault tendency forecasting radar equipment |
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