ICALEPCS2013 - List of Keywords (superconducting-magnet)

Paper	Title	Other Keywords	Page
TUPPC117	Unifying Data Diversity and Conversion to Common Engineering Analysis Tools	software, status, factory, data-analysis	852
	H. Reymond, O.O. Andreassen, C. Charrondière, M.F. Gomez De La Cruz, A. Rijllart CERN, Geneva, Switzerland
	The large variety of systems for the measurements of insulation, conductivity, RRR, quench performance, etc. installed at CERN’s superconducting magnet test facility generates a diversity of data formats. This mixture causes problems when the measurements need to be correlated. Each measurement application has a dedicated data analysis tool used to validate its results, but there are no generic bridge between the applications that facilitates cross analysis of mixed data and data types. Since the LHC start-up, the superconducting magnet test facility hosts new R&D measurements on a multitude of superconducting components. These results are analysed by international collaborators, which triggered a greater need to access the raw data from many typical engineering and analysis tools, such as MATLAB®, Mathcad®, DIAdem™, Excel™… This paper describes the technical solutions developed for the data formats unification and reviews the present status.
	Poster TUPPC117 [11.140 MB]

THPPC077	A Fuzzy-Oriented Solution for Automatic Distribution of Limited Resources According to Priority Lists	simulation, controls, cryogenics, operation	1246
	M. Pezzetti, V. Inglese, A. Tovar CERN, Geneva, Switzerland M.M. Almeida UFMG, Belo Horizonte, Brazil H. Coppier ESIEE, Amiens, France
	This paper proposes a solution for resources allocation when limited resources supply several clients in parallel. The lack of a suitable limitation mechanism in the supply system can lead to the depletion of the resources if the total demand exceeds the availability. To avoid this situation, an algorithm for priority handling which relies on the Fuzzy Systems Theory is used. The Fuzzy approach, as a problem-solving technique, is robust with respect to model and parameter uncertainties and is well-adapted to systems whose mathematical formulation is difficult or impossible to obtain. The aim of the algorithm is to grant a fair allocation if the resources availability is sufficient for all the clients, or, in case of excess of demand, on the basis of priority lists, to assure enough resources only to the high priority clients in order to allow the completion of the high priority tasks. Besides the general algorithm, this paper describes the Fuzzy approach applied to a cryogenic test facility at CERN. Simulation tools are employed to validate the proposed algorithm and to characterize its performance.

Paper

Title

Other Keywords

Page

TUPPC117

Unifying Data Diversity and Conversion to Common Engineering Analysis Tools

software, status, factory, data-analysis

852

H. Reymond, O.O. Andreassen, C. Charrondière, M.F. Gomez De La Cruz, A. Rijllart
CERN, Geneva, Switzerland

The large variety of systems for the measurements of insulation, conductivity, RRR, quench performance, etc. installed at CERN’s superconducting magnet test facility generates a diversity of data formats. This mixture causes problems when the measurements need to be correlated. Each measurement application has a dedicated data analysis tool used to validate its results, but there are no generic bridge between the applications that facilitates cross analysis of mixed data and data types. Since the LHC start-up, the superconducting magnet test facility hosts new R&D measurements on a multitude of superconducting components. These results are analysed by international collaborators, which triggered a greater need to access the raw data from many typical engineering and analysis tools, such as MATLAB®, Mathcad®, DIAdem™, Excel™… This paper describes the technical solutions developed for the data formats unification and reviews the present status.

Poster TUPPC117 [11.140 MB]

THPPC077

A Fuzzy-Oriented Solution for Automatic Distribution of Limited Resources According to Priority Lists

simulation, controls, cryogenics, operation

1246

M. Pezzetti, V. Inglese, A. Tovar
CERN, Geneva, Switzerland
M.M. Almeida
UFMG, Belo Horizonte, Brazil
H. Coppier
ESIEE, Amiens, France

This paper proposes a solution for resources allocation when limited resources supply several clients in parallel. The lack of a suitable limitation mechanism in the supply system can lead to the depletion of the resources if the total demand exceeds the availability. To avoid this situation, an algorithm for priority handling which relies on the Fuzzy Systems Theory is used. The Fuzzy approach, as a problem-solving technique, is robust with respect to model and parameter uncertainties and is well-adapted to systems whose mathematical formulation is difficult or impossible to obtain. The aim of the algorithm is to grant a fair allocation if the resources availability is sufficient for all the clients, or, in case of excess of demand, on the basis of priority lists, to assure enough resources only to the high priority clients in order to allow the completion of the high priority tasks. Besides the general algorithm, this paper describes the Fuzzy approach applied to a cryogenic test facility at CERN. Simulation tools are employed to validate the proposed algorithm and to characterize its performance.