MATLAB神经网络分析上海光源光束线的运行数据  

Processing operation data of beamline in SSRF based on Matlab neuron networks

作　　者：孙皓[1,2] 龚培荣[2] SUN Hao;GONG Peirong(University of the Chinese Academy of Sciences, Beijing 100049, China;Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201204, China)

机构地区：[1]中国科学院大学,北京100049 [2]中国科学院上海应用物理研究所,上海201204

出　　处：《计算机工程与应用》2016年第16期233-237,256,共6页Computer Engineering and Applications

基　　金：国家自然科学基金联合基金项目(No.U1232115)

摘　　要：上海光源光束线运行状态的记录数据具有非线性、复杂和无规律的特点,利用神经网络可有效地分析和处理这些数据。选用Matlab进行数据提取和分析,介绍了Matlab与archive数据库间的数据连接,并用神经网络模式识别对光束线设备运行的状态参量进行数据训练,给出了BL13W光束线站单色器中某一温度运行参量的分类预警及其运行数据分析处理的结果。The operation data of the beamline in SSRF is non-linear, complex and irregular. The data analysis tool selectsthe Matlab. The connection between the Matlab and archive database are introduced, neural network algorithm is selectedfor data analysis of the historic running data of the beamline. A temperature data from the monochromator of the BL13Wbeamline during one month is applied and the analysis results indicate the pre-alarm information of the monitored equipmentis the same as the assumption of the classification before.

关 键 词：MATLAB ARCHIVE 神经网络 光束线 数据分析 

分 类 号：TP389.1[自动化与计算机技术—计算机系统结构] TN911.7[自动化与计算机技术—计算机科学与技术]