DocumentCode :
1067463
Title :
Statistical analysis of conductor motion in LHC superconducting dipole magnets
Author :
Calvi, M. ; Ponomarev, N. ; Pugnat, P. ; Siemko, A.
Author_Institution :
CERN, Geneva, Switzerland
Volume :
14
Issue :
2
fYear :
2004
fDate :
6/1/2004 12:00:00 AM
Firstpage :
223
Lastpage :
226
Abstract :
Premature training quenches are usually caused by the transient energy release within the magnet coil as it is energized. The dominant disturbances originate in cable motion and produce observable rapid variation in voltage signals called spikes. The experimental set up and the raw data treatment to detect these phenomena are briefly recalled. The statistical properties of different features of spikes are presented like for instance the maximal amplitude, the energy, the duration and the time correlation between events. The parameterization of the mechanical activity of magnets is addressed. The mechanical activity of full-scale prototype and first preseries LHC dipole magnets is analyzed and correlations with magnet manufacturing procedures and quench performance are established. The predictability of the quench occurrence is discussed and examples presented.
Keywords :
accelerator magnets; manufacturing processes; mechanical variables measurement; parameter estimation; proton accelerators; quenching (thermal); statistical analysis; storage rings; superconducting magnets; synchrotrons; LHC superconducting dipole magnets; Large Hadron Collider; cable motion; conductor motion; magnet coil; magnet manufacturing procedures; maximal amplitude; mechanical activity parameterization; premature quench training; quench performance; spikes; statistical analysis; transient energy; voltage signals; Conductors; Large Hadron Collider; Magnetic analysis; Motion analysis; Prototypes; Statistical analysis; Superconducting cables; Superconducting coils; Superconducting magnets; Voltage; Conductor motions; LHC; quench training; spikes; statistics; superconducting magnets;
fLanguage :
English
Journal_Title :
Applied Superconductivity, IEEE Transactions on
Publisher :
ieee
ISSN :
1051-8223
Type :
jour
DOI :
10.1109/TASC.2004.829053
Filename :
1324776
Link To Document :
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