The Joint Accelerator Conferences Website (JACoW) is an international collaboration that publishes the proceedings of accelerator conferences held around the world.
TY - CONF AU - Zhang, H. AU - Gao, D.Q. AU - Qian, Q.S. AU - Sun, P. ED - Petit-Jean-Genaz, Christine ED - Kim, Dong Eon ED - Kim, Kyung Sook ED - Ko, In Soo ED - Schaa, Volker RW TI - Data Mining Applied in Management of Heavy Ion Accelerator Power Supplies J2 - Proc. of IPAC2016, Busan, Korea, May 8-13, 2016 C1 - Busan, Korea T2 - International Particle Accelerator Conference T3 - 7 LA - english AB - 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. PB - JACoW CP - Geneva, Switzerland SP - 3552 EP - 3554 KW - power-supply KW - heavy-ion KW - ion KW - database KW - network DA - 2016/06 PY - 2016 SN - 978-3-95450-147-2 DO - 10.18429/JACoW-IPAC2016-THPMW009 UR - http://jacow.org/ipac2016/papers/thpmw009.pdf ER -