Statistical Diagnosis Method of Conductor Motions in Superconducting Magnets to Predict their Quench Performance
- P . Pugnat, B . Khomenko, A . Rijllart, Sanfilippo, A . Siemko
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.