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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。
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.
keywords: neural network X modulator output power fault prediction
文章编号:20240108 中图分类号:TN911.3 文献标志码:A
基金项目:
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.
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.

