ICALEPCS2019 - List of Authors (Nissen, H.)

Paper	Title	Page
WEMPR004	Why Should You Invest in Asset Management? A Fire and Gas Use Case	1041
WEPHA109	use link to see paper's listing under its alternate paper code
	H. Nissen, S. Grau CERN, Geneva, Switzerland
	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.
	Poster WEMPR004 [0.675 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEMPR004
About •	paper received ※ 27 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

WEMPR004

Why Should You Invest in Asset Management? A Fire and Gas Use Case

1041

WEPHA109

use link to see paper's listing under its alternate paper code

H. Nissen, S. Grau
CERN, Geneva, Switzerland

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.

Poster WEMPR004 [0.675 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEMPR004

About •

paper received ※ 27 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)