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飞灰含碳量微波频率响应特性研究 预览 被引量:3

Microwave frequency response characteristic of fly ash with different carbon content
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摘要 为了提高微波法检测飞灰含碳量的精度,填补宽频范围飞灰电磁参数测量空白,采用了同轴传输线法和同轴探头法,分别研究了3~18GHz,不同含碳量飞灰对应的s参数和复介电常数的频率响应特性。实验结果表明,在3~18GHz,含碳量大于7%的范围内,S21和飞灰含碳量之间有良好的线性关系,拟合度大于0.96,测量灵敏度和频率呈正相关。在10~18GHz,飞灰含碳量和介电常数ε’具有很好的线性关系,拟合度大于0.98,相对不确定度在4%以下。另外,从测试不确定度和测量方式分析了S11和损耗因子的结果规律性和重复性不好的原因。 In order to improve the detection precision of fly ash carbon content using microwave method and fill the blank of fly ash electromagnetic parameter measurement in broadband, the coaxial transmission line method and coaxial probe method are used to study the frequency response characteristics of the S parameter and complex dielectric constant of fly ash with different carbon contents in the frequency range of 3 - 18 GHz in experiment, respectively in this paper. The experiment results show that in the frequency range of 3 18 GHz and carbon content of greater than 7% , there is a good linear relationship between S21 and carbon content, the fitness degree is greater than 0.96, and the measurement sensitivity is positively correlated with frequency. In the frequency range of 10 - 18 GHz, the carbon content and dielectric constant ε' show a good linear relationship, the fitting degree is greater than 0.98. The relative uncertainty is below 4% . In addition, the reason for the poor regularity and repeatability of the Sn and loss factor measurement results are analyzed from the test uncertainty and measurement methods.
作者 牛玉广 彭范 Niu Yuguang1,2 ,Peng Fan1(1. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China; 2. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Beijing 102206, China)
出处 《仪器仪表学报》 CSCD 北大核心 2017年第11期2634-2642,共9页 Chinese Journal of Scientific Instrument
基金 国家重点研发计划(2017YFB0902101)项目资助
关键词 飞灰含碳量 频率响应 S参数 复介电常数 carbon content in fly ash frequency response S-parameter complex dielectric constant
作者简介 牛玉广,1983年于武汉水利电力学院获得学士学位,分别在1988年和1997年于华北电力学院获得硕士学位和博士学位,现为华北电力大学教授、博士生导师,主要研究方向为发电过程状态监测与优化控制、控制系统故障检测与分析诊断。E—mail:nyg@ncepu.edu.cn
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