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Proceedings Paper

Random laser scattering pulse signal analysis in laser particle counter with lognormal distribution
Author(s): Zhengang Yan; Weiping Sun; Keding Yan; Jie Li; Hongpeng Lv; Xijing Zhang; Liang Xue; Shouyu Wang
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Paper Abstract

The statistical distribution of natural phenomena is of great significance in studying the laws of nature. Here, in this paper, based on laser scattering particle counter, a simple random pulse signal generating and testing system is designed for studying the counting distributions of three typical objects including particles suspended in the air, standard particles, and background noises. Moreover, in order to have a deep understanding of the experimental results from laser scattering particle counter, a random process model is also proposed theoretically to study the random law of measured results. Both normal and lognormal distribution fittings are applied to analyze the experimental results, and we have proved that statistical amplitude and width distributions of particles suspended in the air, standard particles, and background noise match well with lognormal distribution when natural numbers are used as the variables. This study is an important reference for statistical data processing for laser scattering particle counter, moreover, it will also be a useful guide for designing laser scattering particle counter with high accuracy and processing speed.

Paper Details

Date Published: 13 November 2014
PDF: 11 pages
Proc. SPIE 9279, Real-time Photonic Measurements, Data Management, and Processing, 927912 (13 November 2014); doi: 10.1117/12.2071057
Show Author Affiliations
Zhengang Yan, Xi'an Modern Control Technology Research Institute (China)
Weiping Sun, Xi'an Modern Control Technology Research Institute (China)
Keding Yan, Nanjing Univ. of Science and Technology (China)
Jie Li, Xi'an Modern Control Technology Research Institute (China)
Hongpeng Lv, Xi'an Modern Control Technology Research Institute (China)
Xijing Zhang, Xi'an Modern Control Technology Research Institute (China)
Liang Xue, Shanghai Univ. of Electric Power (China)
Shouyu Wang, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9279:
Real-time Photonic Measurements, Data Management, and Processing
Bahram Jalali; Ming Li; Keisuke Goda; Mohammad Hossein Asghari, Editor(s)

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