改进的Sage-Husa算法及其在工业在线检测中的应用  

Improved Sage-Husa algorithm and its application in industrial online measurement

作　　者：王宪[1] 谭建平[1] 陈国强[1] 成小乐[2] 

机构地区：[1]中南大学机电工程学院,长沙410083 [2]中国重型机械研究院有限公司,西安710032

出　　处：《重庆大学学报（自然科学版）》2013年第12期16-20,27,共6页Journal of Chongqing University

基　　金：国家科技重大专项(2009ZX04005-031);国家重点基础发展计划(2014CB049405)

摘　　要：针对工业在线检测环境复杂多变的特点,在现有方法的基础上,提出了一种改进的Sage-Husa自适应滤波算法。该算法在获得新的观测值后,先通过滤波发散判据判断滤波器状态是否正常,若异常,进一步采用一种一步延时方法判别新的观测值是否为野值,依据判别结果分别采取不同的对策,从而提高Sage-Husa算法在工业检测中的性能。将新算法应用于模拟工业环境的激光束中心定位检测,结果表明:新算法能对系统状态做出准确判断,与传统方法相比,滤波精度较高、实用性好、鲁棒性强,能满足工业在线检测的要求。An improved Sage-Husa adaptive filter algorithm is proposed based on the existing methodologies in light of the complex and changing environment of the industrial online measurement. This algorithm, after a new observed value is obtained, first judges whether the filter is in a normal state by the filtering divergence criterion, if not, it judges whether the new observed value is an outlier and takes countermeasures varying with the judgment so as to improve the performance of the Sage-Husa algorithm in industrial measurement. The result indicates that compared with traditional methodologies, this new algorithm is applicable to measure the location of the center point of laser beam in a simulated industrial environment,makes accurate judgment about the system status, features better precision, practicality and robustness and thus can satisfy the requirements of industrial online measurement.

关 键 词：计算机视觉 在线监测 噪声 自适应滤波 野值 

分 类 号：TG375.9[金属学及工艺—金属压力加工] TP391[自动化与计算机技术—计算机应用技术]