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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Abstract
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 |
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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 |
Related URLs: | |
Depositing User: | Rebecca Seviour |
Date Deposited: | 13 Jun 2017 12:17 |
Last Modified: | 28 Aug 2021 15:55 |
URI: | http://eprints.hud.ac.uk/id/eprint/32153 |
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