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RIS citation export for WEPGF072: Parameters Tracking and Fault Diagnosis base on NoSQL Database at SSRF

TY - CONF
AU - Yan, Y.B.
AU - Chen, Z.C.
AU - Lai, L.W.
AU - Leng, Y.B.
ED - Corvetti, Lou
ED - Riches, Kathleen
ED - Schaa, Volker RW
TI - Parameters Tracking and Fault Diagnosis base on NoSQL Database at SSRF
J2 - Proc. of ICALEPCS2015, Melbourne, Australia, 17-23 October 2015
C1 - Melbourne, Australia
T2 - International Conference on Accelerator and Large Experimental Physics Control Systems
T3 - 15
LA - english
AB - As a user facility, the reliability and stability are very important. Besides using high-reliability hardware, the rapid fault diagnosis, data mining and predictive analytic s are also effective ways to improve the efficiency of the accelerator. A beam data logging system was built at SSRF, which was based on NoSQL database. The logging system stores beam parameters under some predefined conditions. The details of the system will be reported in this paper.
PB - JACoW
CP - Geneva, Switzerland
SP - 873
EP - 875
KW - distributed
KW - hardware
KW - storage-ring
KW - injection
KW - database
DA - 2015/12
PY - 2015
SN - 978-3-95450-148-9
DO - 10.18429/JACoW-ICALEPCS2015-WEPGF072
UR - http://jacow.org/icalepcs2015/papers/wepgf072.pdf
ER -