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.
作者
孙皓
龚培荣
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)
出处
《计算机工程与应用》
CSCD
北大核心
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)
