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RIS citation export for THPHA032: EPICS and Open Source Data Analytics Platforms

TY - CONF
AU - Haskins, C.R.
ED - Schaa, Volker RW
ED - Costa, Isidre
ED - Fernández, David
ED - Matilla, Óscar
TI - EPICS and Open Source Data Analytics Platforms
J2 - Proc. of ICALEPCS2017, Barcelona, Spain, 8-13 October 2017
C1 - Barcelona, Spain
T2 - International Conference on Accelerator and Large Experimental Control Systems
T3 - 16
LA - english
AB - SKA scale distributed control and monitoring systems present challenges in hardware sensor monitoring, archiving, hardware fault detection and fault prediction. The size and scale of hardware involved and telescope high availability requirements suggest the machine learning and other automated methods will be required for fault finding and fault prediction of hardware components. Modern tools are needed leveraging open source time series database & data analytic platforms. We describe DiaMoniCA for The Australian SKA Pathfinder Radio Telescope which integrates EPICS, our own monitoring archiver MoniCA, with an open source time series database and web based data visualisation and analytic platform.
PB - JACoW
CP - Geneva, Switzerland
SP - 1420
EP - 1422
KW - ion
KW - EPICS
KW - monitoring
KW - database
KW - controls
DA - 2018/01
PY - 2018
SN - 978-3-95450-193-9
DO - 10.18429/JACoW-ICALEPCS2017-THPHA032
UR - http://jacow.org/icalepcs2017/papers/thpha032.pdf
ER -