摘要
为了提高智能头盔抗电磁干扰性能预测准确度,提出一种智能头盔抗电磁干扰性能的非线性建模方法。首先分析智能头盔抗电磁干扰性能建模的现状,指出各种方法存在的弊端;然后采集智能头盔抗电磁干扰数据,引入数据挖掘技术对智能头盔抗电磁干扰数据进行建模与挖掘,并建立智能头盔抗电磁干扰非线性预测模型;最后通过智能头盔抗电磁干扰预测仿真实验验证其性能。测试结果表明,所提方法可以准确描述智能头盔抗电磁干扰变化趋势,其抗电磁干扰预测准确度超过95%,预测误差远远小于其他方法,从而获得更加理想的智能头盔抗电磁干扰建模结果。
In order to improve the prediction accuracy of anti EMI performance of intelligent helmets,a nonlinear modeling method of anti EMI performance of intelligent helmets is proposed.Firstly,the current situation of antielectromagnetic interference performance modeling of intelligent helmet is analyzed,the disadvantages of various methodsare pointed out,then the anti-electromagnetic interference data of intelligent helmet are collected,data mining technology is introduced to model and mine the anti-electromagnetic interference data of intelligent helmet,the non-linear prediction model of anti-electromagnetic interference of intelligent helmet,is established.Finally through the simulation experiment,the performance of anti-electromagnetic interference prediction of intelligent helmet is verifed.The test results show that this method can accurately describe the change trend of anti-electromagnetic interference of intelligent helmets.is verifed.The prediction accuracy of anti-electromagnetic interference of intelligent helmets is more than 95%.The prediction error of anti-electromagnetic interference of intelligent helmets is far less than that of other methods,and more ideal modeling results of anti-electromagnetic interference of intelligent helmets are obtained.
作者
张旭东
周年荣
唐立军
ZHANG Xudong;ZHOU Nianrong;TANG Lijun(Electric Power Research Institute of Yunnan Power Grid Corporation,Kunming 650217,China)
出处
《电气应用》
2020年第4期112-116,共5页
Electrotechnical Application
基金
中国南方电网有限责任公司科技项目(YNKJXM20180393).
关键词
智能头盔
抗电磁干扰
数据挖掘
仿真测试
intelligent helmet
anti electromagnetic interference
data mining
simulation test
作者简介
张旭东(1991-),男,硕士,研究方向为新能源,电网自动化。
