| 雷达电源系统安全运行健康状态评估研究 |
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| 引用本文： | 洪晟,罗无为,周闯,李庆岚,叶景文.雷达电源系统安全运行健康状态评估研究[J].航空工程进展,2020,11(4):585-590. |
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| 作者姓名： | 洪晟 罗无为 周闯 李庆岚 叶景文 |
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| 作者单位： | 北京航空航天大学 网络空间安全学院,北京 100191,北京航空航天大学 可靠性与系统工程学院,北京 100191,南京电子技术研究所 信息处理部,南京 210039,南京电子技术研究所 信息处理部,南京 210039,北京航空航天大学 机械工程学院,北京 100191 |
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| 基金项目： | 国家重点研发计划课题（2019YFB1706001）；工业互联网创新发展工程（TC190H46B）；国家自然科学基金（61304111）；国防基础科研计划（JCKY2017210Bxxx） |
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| 摘 要： | 雷达电源系统的运行状态直接影响整个雷达设备的安全性与性能指标的实现,如何实现雷达电源的 健康状态评估是亟待解决的问题。首先采用雷达电源正常状态下的健康特征数据训练自组织神经网络;然后 计算监测数据与训练后的自组织神经网络中权重向量的距离,将距离值归一化表示为健康度;最后利用试验数 据计算健康度,并实现健康分级。结果表明:该模型计算的健康度随电源老化时间变化整体呈现下降的特点, 该模型可以实现雷达电源健康状态评估。
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| 关 键 词： | 雷达电源 安全性 神经网络 加速退化试验 健康状态评估 |
| 收稿时间： | 2020/3/20 0:00:00 |
| 修稿时间： | 2020/7/6 0:00:00 |
Research on the evaluation of safe operation and health state of radar power supply system |
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| hongsheng,luowuwei,zhouchuang,liqinglan and Yejingwen.Research on the evaluation of safe operation and health state of radar power supply system[J].Advances in Aeronautical Science and Engineering,2020,11(4):585-590. |
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| Authors: | hongsheng luowuwei zhouchuang liqinglan and Yejingwen |
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| Institution: | BUAA,BUAA,Nanjing Institute of electronic technology,Nanjing Institute of electronic technology,School of mechanical engineering and automation, Beijing University of Aeronautics and Astronautics |
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| Abstract: | The operation status of radar power supply system directly affects the safety and performance of the whole radar equipment. How to realize the health status assessment of radar power supply is a problem to be solved. In this paper, a health assessment model is established to achieve this goal. Firstly, the health feature data of radar power supply under normal state is used to train the self-organizing neural network. Then the distance between the monitoring data and the weight vector of the trained self-organizing neural network is calculated. The distance value is converted into the health degree between (0,1). Finally, the health degree is calculated by using the data of accelerated degradation test, According to the calculation of health degree, the health grade is divided. The results show that the health degree calculated by the proposed method decreases with the aging of power supply, which indicates that the method can be used to evaluate the health status of radar power supply. |
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| Keywords: | radar power supply safety neural network Accelerated degradation test health evaluation |
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