DocumentCode :
1480249
Title :
Statistical diagnosis method of conductor motions in superconducting magnets to predict their quench performance
Author :
Pugnat, P. ; Khomenko, B. ; Rijllart, A. ; Sanfilippo, S. ; Siemko, A.
Author_Institution :
Eur. Lab. for Nucl. Res., CERN, Geneva, Switzerland
Volume :
11
Issue :
1
fYear :
2001
fDate :
3/1/2001 12:00:00 AM
Firstpage :
1705
Lastpage :
1708
Abstract :
Premature training quenches are usually caused by the transient energy released within the magnet coil as it is energised. Two distinct varieties of disturbances exist. They are thought to be electrical and mechanical in origin. The first type of disturbance comes from nonuniform current distribution in superconducting cables whereas the second one usually originates from conductor motions or micro-fractures of insulating materials under the action of Lorentz forces. All of these mechanical events produce in general a rapid variation of the voltages in the so-called quench antennas and across the magnet coil, called spikes. A statistical method to treat the spatial localisation and the time occurrence of spikes is presented. It allows identification of the mechanical weak points in the magnet without need to increase the current to provoke a quench. The prediction of the quench level from detailed analysis of the spike statistics can be expected
Keywords :
current distribution; statistical analysis; superconducting cables; superconducting coils; superconducting magnets; Lorentz forces; conductor motions; magnet coil; mechanical weak points identification; micro-fractures; nonuniform current distribution; quench antennas; quench performance prediction; spike statistics; statistical diagnosis method; superconducting cables; superconducting magnets; training quenches; Cable insulation; Conducting materials; Conductors; Current distribution; Magnetic materials; Statistical analysis; Superconducting cables; Superconducting coils; Superconducting magnets; Superconducting materials;
fLanguage :
English
Journal_Title :
Applied Superconductivity, IEEE Transactions on
Publisher :
ieee
ISSN :
1051-8223
Type :
jour
DOI :
10.1109/77.920111
Filename :
920111
Link To Document :
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