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https://doi.org/10.18429/JACoW-ICALEPCS2019-WEMPR004
Title Why Should You Invest in Asset Management? A Fire and Gas Use Case
Authors
  • H. Nissen, S. Grau
    CERN, Geneva, Switzerland
Abstract At present, the CERN Fire and Gas detection systems involve about 22500 sensors and their number is increasing rapidly at the same time as the number of equipped installations grows up. These assets cover a wide spectrum of technologies, manufacturers, models, parameters, and ages, reflecting the 60 years of CERN history. The use of strict rules and data structures in the declaration of the assets can make a big impact on the overall system maintainability and therefore on the global reliability of the installation. Organized assets data facilitates the creation of powerful reports that help asset owners and management address material obsolescence and end-of-life concerns with a global perspective Historically preventive maintenance have been used to assure the correct function of the installations. With modern supervision systems, a lot of data is collected and can be used to move from preventive maintenance towards data driven maintenance (predictive). Moreover it optimizes maintenance cost and increase system availability while maintaining reliability. A prerequisite of this move is a coherence on the assets defined in the asset management system and in the supervision system.
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Conference ICALEPCS2019
Series International Conference on Accelerator and Large Experimental Physics Control Systems (17th)
Location New York, NY, USA
Date 05-11 October 2019
Publisher JACoW Publishing, Geneva, Switzerland
Editorial Board Karen S. White (ORNL, Oak Ridge, TN, USA); Kevin A. Brown (BNL, Upton, NY, USA); Philip S. Dyer (BNL, Upton, NY, USA); Volker RW Schaa (GSI, Darmstadt, Germany)
Online ISBN 978-3-95450-209-7
Online ISSN 2226-0358
Received 27 September 2019
Accepted 10 October 2019
Issue Date 30 August 2020
DOI doi:10.18429/JACoW-ICALEPCS2019-WEMPR004
Pages 1041-1045
Copyright
Creative Commons CC logoPublished by JACoW Publishing under the terms of the Creative Commons Attribution 3.0 International license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI.