基于稀疏分解的纸浆流量软测量  

The Pulp Flow Soft Measurement Based on Sparse Decomposition

作　　者：吴祎[1] 周强[1] 吴文军 WU Yi , ZHOU Qiang , WU Wen-jun （1. School of Electrical and Information Engineering, Shaanxi University of Science and Technology, Xi＇an 710021, China; 2. Shaanxi Yanchang Petroleum Mining Industry Co., Ltd, Yulin 719139, China）

机构地区：[1]陕西科技大学电气与信息工程学院,陕西西安710021 [2]陕西延长石油安源化工有限公司,陕西榆林719139

出　　处：《电脑知识与技术》2016年第1期103-105,共3页Computer Knowledge and Technology

基　　金：陕西省科技统筹创新工程计划项目（编号.2012KTCQ01-19）;陕西省科技攻关项目（编号：2011K06-06）;西安市未央区科技计划项目（编号：201304）

摘　　要：针对纸浆流量测量设备成本高、测量条件苛刻及测量精度低等问题,提出基于稀疏分解的纸浆流量软测量新方法。利用稀疏分解技术,根据纸浆浓度固有噪声特点,自适应地建立过完备原子库,利用过完备原子库与最佳原子对纸浆浓度固有噪声进行稀疏表示,得出纸浆流量值。实验证明了本方法的可行性、实时性与精确性。For the pulp flow measurement equipment cost is high, the measuring conditions demanding and low accuracy of measurement problem, put forward new pulp flow soft measurement method based on sparse decomposition. Using the sparse decomposition technology, based on the characteristics of the pulp concentration inherent noise, adaptive to establish a complete atom library, with a complete library and best atoms to sparse representation of the pulp concentration inherent noise, it is concluded that the pulp flow value. Experimental results show the feasibility of this method, real-time and accuracy.

关 键 词：纸浆流量 软测量 稀疏分解 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论;自动化与计算机技术—计算机科学与技术]