摘要
采用灵敏度高、结构简单、环境适应性强的非侵入式静电传感器阵列测量甲烷及生物质火焰的能量变化特性。基于经验模态分解的降噪方法对测量信号进行去噪处理,以获得信号的能量熵用于表征火焰中带电颗粒运动复杂度。实验中对甲烷-空气预混和扩散火焰以及甲烷助燃生物质火焰进行测量。研究结果表明:甲烷扩散火焰带电颗粒运动复杂度随燃料流量的增大而增大,相同甲烷流量下,空气流量越大预混火焰颗粒运动复杂度越高,生物质火焰中带电颗粒运动复杂度比气态甲烷火焰的高,火焰中部带电颗粒运动复杂度最高。
A non-invasive electrostatic sensor array with high sensitivity,simple structure and good environmental adaptability was used to measure the energy characteristics of burner flames in different combustion tests.A denoising method based on empirical mode decomposition(EMD)was adopted to denoise the original sensor signals before calculating the EMD energy entropy of the flame,which was used to evaluate the motion complexity of charged particles in a flame.Experimental tests were conducted under various flame conditions,such as methane-air diffusion flames,methane-air premixed flames and methane-assisted biomass flames.The results show that the motion complexity of charged particles in diffusion and premixed flames increases with the flow rate of methane.The motion complexity of charged particles in biomass flames is higher than that of methane flames.The motion complexity of charged particles in the middle region of a flame is the highest.
作者
李珊
闫勇
吴佳丽
钱相臣
LI Shan;YAN Yong;WU Jiali;QIAN Xiangchen(School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China;School of Engineering and Digital Arts,University of Kent,Kent CT27NT,U.K.)
出处
《中南大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2021年第1期285-293,共9页
Journal of Central South University:Science and Technology
基金
国家自然科学基金资助项目(61673170,51827808)
中央高校基本科研业务费专项资金资助项目(2019MS023)。
关键词
可再生低碳燃料
火焰检测
静电传感器阵列
经验模态分解
能量熵
renewable low carbon fuel
flame monitoring
electrostatic sensor arrays
empirical mode decomposition
energy entropy