Optimization of regularization parameter of inversion in particle sizing using light extinction method

作     者：Mingxu Su Feng Xu Xiaoshu Cai Kuanfang Ren Jianqi Shen 

作者机构：Institute of Particle and Two Phase Flow Measurement Technology University of Shanghai .for Science and Technology Shanghai 200093 China LESP UMR6614/CORIA CNRS-Universite France INSA de Rouen 76801 France 

出 版 物：《China Particuology》 (中国颗粒学报)

年 卷 期：2007年第5卷第4期

页      面：295-299页

核心收录：

学科分类：080706[工学-化工过程机械] 08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：The present work is supported by National Science Foundation of China (NSFC 50376041) the National High Technology Development 863 Program (2006AA03Z349) the ShuGuang project of Shanghai Educational Development Foundation (04SG49), which are gratefully acknowledged 

主　　题：Particle size analysis Light extinction Inversion algorithm Regularization parameter 

摘      要：In particle sizing by light extinction method, the regularization parameter plays an important role in applying regularization to find the solution to ill-posed inverse problems. We combine the generalized cross-validation （GCV） and L-curve criteria with the Twomey-NNLS algorithm in parameter optimization. Numerical simulation and experimental validation show that the resistance of the newly developed algorithms to measurement errors can be improved leading to stable inversion results for unimodal particle size distribution.