CERN Accelerating science

Preprint
Report number	CERN-BE-2023-011
Title	A quality assurance approach for the Full Remote Alignment System
Author(s)	Herty, Andreas (CERN) ; Dandekar, Mamta Shrikrishna (CERN) ; Fleury, Sarah Agathe (CERN) ; Naegely, Anne Valerie (CERN) ; Rude, Vivien (CERN) ; Sosin, Mateusz (CERN)
Publication	2022
Imprint	31 Oct 2022
Number of pages	6
Presented at	16th International Workshop on Accelerator Alignment (IWAA 2022), Ferney-Voltaire, France, 31 Oct - 4 Nov 2022
Subject category	Engineering
Keywords	quality assurance ; Full Remote Alignment System ; FRAS ; monitoring ; alignment ; accelerator ; High-Luminosity Large Hadron Collider ; HL-LHC ; asset management
Abstract	The Full Remote Alignment System is a multi-sensor monitoring and alignment system for the position de- termination and adjustment of accelerator components in the High-Luminosity Large Hadron Collider. The objective of this development was the creation of an asset management for equipment of the Full Remote Alignment System that allows a simple, intuitive and time-optimised handling. Experience from previous interventions was analysed regarding the parameter definition and work steps management. Furthermore, tools available at CERN were identified and reviewed for their use in the asset management and information tracking of the sensors. This work evaluates the framework to fully provide an asset management allowing to store the obtained information during validation, calibration, deployment and maintenance processes of the equipment and provide this information to other interfaces during the lifetime of the installation. The overall concepts for asset management and group internal coordination are established. The created, structured analysis allows the implementation of a CERN tools-based asset management for mechanical components together with an infrastructure to efficiently track these assets.
Submitted by	[email protected]