基于GRNN和PNN的复杂电磁环境效应机理分析GRNN and PNN based mechanism analysis of complex electromagnetic environment effects
李廷鹏,王满喜,彭丹华,袁航
摘要(Abstract):
复杂电磁环境效应机理分析对于提高电子信息系统的电磁环境适应性具有至关重要的作用。采用逆向思维方式,利用广义神经网络建立电子信息系统非线性模型,在对模型输出与系统真实输出的残差进行特征提取的基础上,利用概率神经网络进行效应和电磁环境因素分类,据此可对电子信息系统进行电磁环境效应的在线诊断。最后,以超外差接收机的复杂电磁环境效应分析作为案例进行研究,结果很好地验证了所提方法的有效性和实用性。
关键词(KeyWords): 电磁环境效应;机理分析;神经网络;超外差接收机;GRNN;PNN
基金项目(Foundation):
作者(Author): 李廷鹏,王满喜,彭丹华,袁航
DOI: 10.16652/j.issn.1004-373x.2018.23.031
参考文献(References):
- [1]潘晓东,卢新福,万浩江,等.典型通信装备带内双频连续波电磁辐射效应预测方法[J].系统工程与电子技术,2016,38(11):2474-2480.PAN Xiaodong,LU Xinfu,WAN Haojiang,et al.Electromagnetic radiation effect prediction method of typical communication equipment with in-band dual-frequency continuous wave[J].System engineering and electronic technology,2016,38(11):2474-2480.
- [2]任兴荣.半导体器件的电磁损伤效应与机理研究[D].西安:西安电子科技大学,2014.REN Xinrong.Electromagnetic damage effect and mechanism research of semiconductor devices[D].Xi’an:Xi’an University of Electronic Technology,2014.
- [3]张勇强,魏光辉,安霆.超宽带辐照对飞行器干扰效应实验研究[J].中北大学学报(自然科学版),2010,31(6):636-640.ZHANG Yongqiang,WEI Guanghui,AN Ting.Experimental study on the interference effect of ultra-wideband irradiation on aircraft[J].Journal of North University of China(natural science edition),2010,31(6):636-640.
- [4]魏光辉,耿利飞,潘晓东.通信电台电磁辐射效应机理[J].高电压技术,2014,40(9):2685-2692.WEI Guanghui,GENG Lifei,PAN Xiaodong.Communication radio frequency effect mechanism[J].High voltage technology,2014,40(9):2685-2692.
- [5]BENDU H,DEEPAK B,MURUGAN S.Application of GRNNfor the prediction of performance and exhaust emissions in HCCIengine using ethanol[J].Energy conversion and management,2016,122:165-173.
- [6]DENG Z H.Research on springback control based on GRNN-ES[C]//Proceedings of 2016 the 3rd International Conference on Mechatronics and Information Technology.Paris:Atlantis Press,2016:447-450.
- [7]HUANG C Y,CHANG J X,WANG Z L,et al.Annual precipitation forecast analysis based on EEMD and GRNN hybrid model[J].Oxidation communications,2016,39(1A):1162-1171.
- [8]ROOKI R.Application of general regression neural network(GRNN)for indirect measuring pressure loss of HerschelBulkley drilling fluids in oil drilling[J].Measurement,2016,85:184-191.
- [9]SAVITA,ANSARI M A,PAL N S,et al.Wind speed and power prediction of prominent wind power potential states in India using GRNN[C]//Proceedings of the First IEEE International Conference on Power Electronics,Intelligent Control and Energy Systems.Delhi:IEEE,2016:1-6.
- [10]THARA K S,JASMINE K.Brain tumour detection in MRIimages using PNN and GRNN[C]//Proceedings of the 2016IEEE International Conference on Wireless Communications,Signal Processing and Networking.Chennai:IEEE,2016:1504-1510.
- [11]巴寅亮,王书提,李春兰,等.基于PNN神经网络的电控发动机故障诊断[J].现代电子技术,2016,39(20):146-148.BA Yinliang,WANG Shuti,LI Chunlan,et al.Electronically controlled engine fault diagnosis based on PNN neural network[J].Modern electronics technique,2016,39(20):146-148.
- [12]刘美珍.基于PNN神经网络的电控发动机故障诊断研究[D].石家庄:河北科技大学,2016.152LIU Meizhen.Research on fault diagnosis of electronic control engine based on PNN neural network[D].Shijiazhuang:Hebei University of Science and Technology,2016.
- [13]俞文燕.基于概率神经网络的电机故障诊断研究[D].扬州:扬州大学,2016.YU Wenyan.Research on motor fault diagnosis based on probabilistic neural network[D].Yangzhou:Yangzhou University,2016.