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Statistics and Its Applications in Identification of Irregular Particles
引用本文:ZENGZhou-mo ZHANGZhi-rong 等. Statistics and Its Applications in Identification of Irregular Particles[J]. 半导体光子学与技术, 2001, 7(3): 183-188
作者姓名:ZENGZhou-mo ZHANGZhi-rong 等
作者单位:StateKeyLab.ofPrecistionMeasurementTechnologyandInstruments,TianjinUniversity,Tianjin300072,CHN
基金项目:国家自然科学基金,Key Young Teacher Foundation by Education Ministry of China 
摘    要:Phase Doppler anemonetry(PDA)is very sensitive to the shape of testing particles,which is based on sphericity assumption and Mie‘s theory.In practice,there exists effectiveness of non-sphericity and the response of PDA system deviates from the theoretical prediction.In this paper,the statistic characteristics of PDA signal are analyzed and a method of inentifying and quantifying irregular particles is proposed.It is concluded that phase difference of PDA signal for irregular particles is an unbiased estimation for spherical particles.

关 键 词:统计分析 混乱图形识别 粒子测量法 相多普勒风力测定法
收稿时间:2001-05-10

Statistics and Its Applications in Identification of Irregular Particles
ZENG Zhou-mo,ZHANG Zhi-rong,LU Hong-bo,PAN Yin-sheng. Statistics and Its Applications in Identification of Irregular Particles[J]. Semiconductor Photonics and Technology, 2001, 7(3): 183-188
Authors:ZENG Zhou-mo  ZHANG Zhi-rong  LU Hong-bo  PAN Yin-sheng
Abstract:Phase Doppler anemometry(PDA) is very sensitive to the shape of testing particles, which is based on sphericity assumption and Mie's theory. In practice, there exists effectiveness of non sphericity and the response of PDA system deviates from the theoretical prediction. In this paper, the statistic characteristics of PDA signal are analyzed and a method of identifying and quantifying irregular particles is proposed. It is concluded that phase difference of PDA signal for irregular particles is an unbiased estimation for spherical particles.
Keywords:Statistic analysis  Fuzzy pattern recognition  Particle measurement  Phase Doppler anemometry
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