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Accelerators and their ghosts

Rescic, M., Seviour, Rebecca and Blokland,, W. (2017) Accelerators and their ghosts. In: Proceedings of IPAC 17. JACoW, pp. 1975-1978. ISBN 9783954501823

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The issue of particle accelerator reliability is a problem that currently is not fully defined, understood nor addressed. Conventional approaches to reliability (e.g., RBDs) struggle due to a lack of data about specific component/system reliability and failure.

There is a large body of beam current data retrievable from operating accelerators that contains detailed information about the accelerator behaviour, both before and after a
machine trip has occurred.

Analysing this data could provide insight and help develop a new approach to address accelerator reliability. In this paper, we propose a data-driven approach to detecting emergent behaviour in particle accelerators. Instead of attempting to identify every possible failure of a machine
we propose an alternative approach based around a change in perspective, to knowing the normal default operational behaviour of a machine. Taking action when a “ghost in the machine” emerges that causes accelerator wide aberrant changes to normal machine behaviour.

Item Type: Book Chapter
Additional Information: 8th International Particle Accelerator Conference, 14-19th May 2017, Copenhagen, Denmark
Subjects: Q Science > QC Physics
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Schools: School of Computing and Engineering
School of Computing and Engineering > International Institute for Accelerator Applications
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Depositing User: Rebecca Seviour
Date Deposited: 13 Jun 2017 12:17
Last Modified: 28 Aug 2021 15:55


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