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DOI:10.18429/JACoW-IPAC2016-THPOY031
Title A Holistic Approach to Accelerator Reliability Modeling
Authors
  • M. Reščič, R. Seviourpresenter
    University of Huddersfield, Huddersfield, United Kingdom
  • W. Blokland
    ORNL, Oak Ridge, Tennessee, USA
Abstract Reliability has been identified as a key factor limiting the development of certain particle accelerator applications, for example Accelerator-Driven Systems (ADS) for energy production and waste-transmutation*. Previous studies of particle accelerator reliability have been undertaken using conventional techniques, such as Reliability Block Diagrams (RBD), Fault Tree Analysis (FTA), etc. Although limited data surrounding components and their failure modes limits the applicability of conventional techniques for analysing the reliability of particle accelerators. In addition industrial applications of particle accelerators, i.e. energy production, require a real time response to failure. In this paper we examine a holistic approach to accelerator reliability modelling using Electric Network Frequency (ENF) criterion to look for emergent behaviour of the particle accelerator, from complex datasets, such as beam current/charge, created by the diagnostics systems during the machines operation. To look for predictive characteristics just prior to a machine trip.
Footnotes & References * Report from the DOE ADS White Paper Working Group, Stuart Henderson, Fermilab, October 26, 2011
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Conference IPAC2016, Busan, Korea
Series International Particle Accelerator Conference (7th)
Proceedings Link to full IPAC2016 Proccedings
Session Poster Session
Date 12-May-16   16:00–18:00
Main Classification 06 Beam Instrumentation, Controls, Feedback and Operational Aspects
Sub Classification T22 Reliability, Operability
Keywords database, extraction, network, experiment, real-time
Publisher JACoW, Geneva, Switzerland
Editors Christine Petit-Jean-Genaz (CERN, Geneva, Switzerland); Dong Eon Kim (PAL, Pohang, Republic of Korea); Kyung Sook Kim (PAL, Pohang, Republic of Korea); In Soo Ko (POSTECH, Pohang, Republic of Korea); Volker RW Schaa (GSI, Darmstadt, Germany)
ISBN 978-3-95450-147-2
Published June 2016
Copyright
Copyright © 2016 by JACoW, Geneva, Switzerland     CC-BY Creative Commons License
cc Creative Commons Attribution 3.0