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神经网络在雷达装备故障趋势预测中的应用

范爱锋 孟亚峰 张宏伟

火力与指挥控制2011,Vol.36Issue(10):180-181,185,3.
火力与指挥控制2011,Vol.36Issue(10):180-181,185,3.

神经网络在雷达装备故障趋势预测中的应用

Application of Neural Network to Radar Equipment Fault Tendency Forecasting

范爱锋 1孟亚峰 2张宏伟2

作者信息

  • 1. 国防大学,北京100091
  • 2. 军械工程学院,石家庄050003
  • 折叠

摘要

Abstract

In order to improve forecasting precision, the model of neural network forecasting based on exponential damping, which transferred 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.

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

Key words

exponential damping, neural network, state monitoring, fault tendency forecasting, radar equipment

分类

信息技术与安全科学

引用本文复制引用

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):180-181,185,3.

火力与指挥控制

OA北大核心CSCDCSTPCD

1002-0640

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