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DOI:
飞控与探测:2024,(1):58-61
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基于BP神经网络X频段调制器故障预测
(上海航天电子技术研究所)
Fault Prediction of X Modulator Based on BP Neural Network
(Shanghai Aerospace Electronic Technology Institute)
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中文摘要: 本文采用BP神经网络对X频段调制器的故障预测进行研究,通过仿真软件编程构建BP神经网络故障预测模型,验证X频段调制器输出功率指标的精确性,根据测试结果表明建立的BP神经网络故障模型预测误差很小,能够较准确对X频段调制器的输出功率故障进行预测。
中文关键词: 神经网络  X频段调制器  输出功率  故障  预测
Abstract:In this paper, the BP neural network is used to study the fault prediction of the X modulator, and the BP neural network fault prediction model is built through simulation software programming to verify the accuracy of the output power index of the X modulator. The experimental results show that the prediction data error of the fault model established in this paper is small, and can predict the output power fault of the X modulator more accurately.
文章编号:20240108     中图分类号:TN911.3    文献标志码:A
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引用文本:
章玉珠,张康雷,孙哲煜,芮涛,魏祎.基于BP神经网络X频段调制器故障预测[J].飞控与探测,2024,(1):58-61.