遗传算法用于颗粒粒度分布重建的研究  

Study on Particles Size Distribution Recovering by Evolutionary Program

作　　者：严建华[1] 黄群星[1] 马增益[1] 王琼[1] 王飞[1] 岑可法[1] 

机构地区：[1]浙江大学热能工程研究所能源清洁利用与环境工程教育部重点实验室,浙江杭州310027

出　　处：《计量学报》2005年第1期86-89,共4页Acta Metrologica Sinica

基　　金：国家重点基础研究专项经费(2001CB409600);国家自然科学基金(50106015)

摘　　要：消光法是一种基于消光定律的非接触式颗粒浓度和颗粒粒度测量的有效方法。由于它原理简单、易操作、易实现,因而得到了广泛的应用与研究。粒度谱重建算法是消光法粒度谱测量的核心内容,为了克服以往粒度谱重建算法需要先验知识的局限性,提出了采用改进的遗传算法来重建颗粒的粒度分布函数,并给出了算法的实现步骤。从数值模拟和实验研究的结果来看,该算法具有较高的精度和稳定性,它不受颗粒粒度分布影响,对噪声不敏感,同时还可以用于未知光学常数颗粒的测量。As a kind of optical particles sizing techniques, extinction method is widely used in variety fields according to its attractive features such as simplicity of principle, easy implementation and non-intrusive. In order to discard the requirement for prior distribution information of past recovering algorithms, an evolutionary program method is proposed. Numeric simulations and experiments are used to verify the spatial resolution and stability. The results show the EP (Evolutionary program) method has the advantages of high robust, insensitive to measurement noise and also non-limit to particles complex refractive index. All of these makes EP method a useful algorithm for size distribution recovering.

关 键 词：计量学 粒度分布 消光法 遗传算法 

分 类 号：TB99[一般工业技术—计量学]