| Title |
Data Mining Applied in Management of Heavy Ion Accelerator Power Supplies |
| Authors |
- H. Zhang, D.Q. Gao, Q.S. Qian, P. Sun
IMP/CAS, Lanzhou, People's Republic of China
|
| Abstract |
Scientific and effective management of power supplies could reduce the failure rate and improve the efficiency of the heavy ion accelerator. This paper shows how to introduce data mining into the intelligent management of heavy ion accelerator power supplies. A web site platform was developed to collect raw data. The raw data includes many kinds of information about one power supply's life cycle form its development to operation. Among which the failure records are particularly important. According to the attribute that the records are mostly nominal data, R software and SQL Server 2008 Business Intelligence Development Studio were chose as mining tools. R soft-ware was used to carry on the statistical characteristic analysis and SQL Server 2008 Business Intelligence Development Studio was used to find out association rules. Useful conclusions have been drawn. This work has laid a solid foundation to further establish the intelligent management system of heavy ion accelerator power supplies.
|
| Paper |
download THPMW009.PDF [1.043 MB / 3 pages] |
| Export |
download ※ BibTeX
※ LaTeX
※ Text/Word
※ RIS
※ EndNote |
| Conference |
IPAC2016, Busan, Korea |
| Series |
International Particle Accelerator Conference (7th) |
| Proceedings |
Link to full IPAC2016 Proccedings |
| Session |
Poster Session |
| Date |
12-May-16 16:00–18:00 |
| Main Classification |
07 Accelerator Technology |
| Sub Classification |
T11 Power Supplies |
| Keywords |
power-supply, heavy-ion, ion, database, network |
| Publisher |
JACoW, Geneva, Switzerland |
| Editors |
Christine Petit-Jean-Genaz (CERN, Geneva, Switzerland); Dong Eon Kim (PAL, Pohang, Republic of Korea); Kyung Sook Kim (PAL, Pohang, Republic of Korea); In Soo Ko (POSTECH, Pohang, Republic of Korea); Volker RW Schaa (GSI, Darmstadt, Germany) |
| ISBN |
978-3-95450-147-2 |
| Published |
June 2016 |
| Copyright |
|
