基于MATLAB的上海光源光束线运行状态分析与预警
随着上海光源（Shanghai Synchrotron Radiation Facility, SSRF）新建光束线站数量的增加，其运行状态的参数记录每年都在成倍地增长，光束线站建设之初实施的运行数据处理方法已不能满足用户不断增长的需求。为此，采用MATLAB连接光束线的Archive数据库，发展了一种新的光束线运行数据的处理方法，本文通过对两条光束线单色器温度信号的数据分析，说明了MATLAB神经网络可根据数据的变化情况给出相应信号的预警提示，利用MATLAB强大的数据功能，还可有效地提高光束线站设备运行数据的分析处理能力。...
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| Published in | 核技术 Vol. 39; no. 7; pp. 21 - 25 |
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| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
中国科学院大学 北京100049%中国科学院上海应用物理研究所张江园区 上海201204
2016
中国科学院上海应用物理研究所张江园区 上海201204 |
| Subjects | |
| Online Access | Get full text |
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| Summary: | 随着上海光源（Shanghai Synchrotron Radiation Facility, SSRF）新建光束线站数量的增加，其运行状态的参数记录每年都在成倍地增长，光束线站建设之初实施的运行数据处理方法已不能满足用户不断增长的需求。为此，采用MATLAB连接光束线的Archive数据库，发展了一种新的光束线运行数据的处理方法，本文通过对两条光束线单色器温度信号的数据分析，说明了MATLAB神经网络可根据数据的变化情况给出相应信号的预警提示，利用MATLAB强大的数据功能，还可有效地提高光束线站设备运行数据的分析处理能力。 |
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| Bibliography: | MATLAB, Beamline, Archive database, Data analysis SUN Hao, GONG Peirong （1Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Zhangjiang Campus, Shanghai 201204, China; 2University of Chinese Academy of Sciences, Beijing 100049, China） 31-1342/TL Background： With the increasing number of beamlines in Shanghai Synchrotron Radiation Facility （SSRF）, the amount of the parameter records of the running state grows exponentially year by year, while the data processing method implemented at the beginning of the construction of beamlines could not meet new user requirements. Purpose： This study aims to solve this problem by using MATLAB. Methods： The fault pattern recognition system with strong nonlinear mapping ability was developed by using MATLAB, and the neural network was adopted to analyze the running data, which could get the result we want and give pre-waming information via the connection between the MATLAB and Archive database. Results： Analysis result of the two temperatures record data of the |
| ISSN: | 0253-3219 |
| DOI: | 10.11889/j.0253-3219.2016.hjs.39.070104 |