{"title":"Extraction of transferred charge signal of gas-solid two-phase flow based on nonlinear time domain analysis","authors":"Lin Jia, Xujun Su, Guibo Yu, Qiao Ma, Jinli Che","doi":"10.1016/j.elstat.2024.103905","DOIUrl":null,"url":null,"abstract":"<div><p>—When the particles are in the gas-solid two-phase flow, the transferred charge will be generated. The transferred signal obtained by using the inner flush-mounted electrostatic sensor is rich in flow information, which can provide important support for studying the flow law of gas-solid two-phase flow. In this paper, the nonlinear time-domain analysis method based on embedded empirical mode decomposition (EEMD) and largest Lyapunov exponent (LLE) is proposed to extract the transferred charge signal of gas-solid two-phase flow. Firstly, the electrostatic signal is decomposed and the induced charge signal is removed by the combination of EEMD and autocorrelation function correlation coefficient index. Then, the LLE of the remaining intrinsic mode function (IMF) components is calculated, and the corresponding IMF is selected to reconstruct into the transferred charge signal according to the condition that LLE>0. The results show that the LLE of transferred charge signal increases with the increase of the superficial gas velocity and decreases with the increase of solid gas mass ratio. The root mean square (RMS) and standard deviation (STD) of the transferred charge signal increase with the increase of the superficial gas velocity, increase with the increase of the solid gas mass ratio, and slow down at high solid gas mass ratio.</p></div>","PeriodicalId":54842,"journal":{"name":"Journal of Electrostatics","volume":"128 ","pages":"Article 103905"},"PeriodicalIF":1.9000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Electrostatics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304388624000123","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
—When the particles are in the gas-solid two-phase flow, the transferred charge will be generated. The transferred signal obtained by using the inner flush-mounted electrostatic sensor is rich in flow information, which can provide important support for studying the flow law of gas-solid two-phase flow. In this paper, the nonlinear time-domain analysis method based on embedded empirical mode decomposition (EEMD) and largest Lyapunov exponent (LLE) is proposed to extract the transferred charge signal of gas-solid two-phase flow. Firstly, the electrostatic signal is decomposed and the induced charge signal is removed by the combination of EEMD and autocorrelation function correlation coefficient index. Then, the LLE of the remaining intrinsic mode function (IMF) components is calculated, and the corresponding IMF is selected to reconstruct into the transferred charge signal according to the condition that LLE>0. The results show that the LLE of transferred charge signal increases with the increase of the superficial gas velocity and decreases with the increase of solid gas mass ratio. The root mean square (RMS) and standard deviation (STD) of the transferred charge signal increase with the increase of the superficial gas velocity, increase with the increase of the solid gas mass ratio, and slow down at high solid gas mass ratio.
-当颗粒处于气固两相流中时,会产生转移电荷。利用内平装静电传感器获得的转移信号蕴含着丰富的流动信息,可为研究气固两相流的流动规律提供重要支持。本文提出了基于嵌入式经验模态分解(EEMD)和最大李雅普诺夫指数(LLE)的非线性时域分析方法来提取气固两相流的转移电荷信号。首先,对静电信号进行分解,并结合 EEMD 和自相关函数相关系数指数去除诱导电荷信号。然后,计算剩余本征模态函数(IMF)成分的 LLE,并根据 LLE>0 的条件选择相应的 IMF 重构为转移电荷信号。结果表明,转移电荷信号的 LLE 随表层气体速度的增加而增加,随固体气体质量比的增加而减小。转移电荷信号的均方根(RMS)和标准偏差(STD)随表层气体速度的增加而增加,随固体气体质量比的增加而增加,在高固体气体质量比时减慢。
期刊介绍:
The Journal of Electrostatics is the leading forum for publishing research findings that advance knowledge in the field of electrostatics. We invite submissions in the following areas:
Electrostatic charge separation processes.
Electrostatic manipulation of particles, droplets, and biological cells.
Electrostatically driven or controlled fluid flow.
Electrostatics in the gas phase.